Tootfinder

Chinas #Zementindustrie könnte einen bedeutenden Beitrag zur #Kohlenstoffneutralität leisten. Eine Studie des Instituts für Angewandte Ökologie der Chinesischen Akademie der Wissenschaften zeigt, dass

China's cement industry: Potential contributor to carbon neutrality
In a recent study published in Science China Earth Sciences, researchers from the Institute of Applied Ecology of the Chinese Academy of Sciences have unveiled new advances in the carbon capture capabilities of China's cement industry and its potential contribution to carbon neutrality.

Nominations open for the 2024 Harry Smith Prize, recognizing early career research published in the journals Molecular Ecology and Molecular Ecology Resources
#science #genetics #genomics

An afternoon of environmentally themed events centered around “‘Nature’s Sanctuary’: Ethiopian Church Forests and the Interplay of Religion and Ecology.”
The focal point of “Nature’s Sanctuary” is a month-long exhibition of photographs by Scottish non-fiction photographer Kieran Dodds, depicting a story of ecological crisis and of hope, as a local nonprofit partners with communities to preserve some of the last remaining ancient forests of the Ethiopian highlands
"Within the…

Slaughterhouses in the United States are effectively without any restrictions for release of wastewater effluent into rivers. This is not only phosphorus and nitrogen, but a whole range of other toxic pollutants. As you would expect, this has a huge impact on the ecology of these systems.
#waterquality #pollution

Any resources that you particularly recommend on #reproducibility for #ecology #biology?
So far I have:
Data Analysis and Visualisation in R for Ecologists https://datacarpentry.org/R-ecology-lesson/
Reproducible Bioinformatics Research for Biologists https://osf.io/zqbu2
Sharing biological data: why, when, and how https://doi.org/10.1002/1873-3468.14067
A guide to Data Management in Ecology and Evolution by the British Ecological Society https://www.britishecologicalsociety.org/wp-content/uploads/2019/06/BES-Guide-Data-Management-2019.pdf

Nice piece, it's a difficult balance for scientists we are supposed to write impersonally, but does language we employ blunt message?
https://spore.social/@rewildingmag/112007046787772384
@…

Molecular Ecology calls for papers to go in a planned special issue on the genomics of speciation
#science #evolution #genetics

I've started listening to @…, and I'm impressed by how many angles they approach the subject from. They've gone into depth on the lives of immigrant workers, the process of getting a billboard taken down, the mindset you want to have on a city council, and even a little biology and ecology. It's like th…

Slaughterhouses in the United States are effectively without any restrictions for release of wastewater effluent into rivers. This is not only phosphorus and nitrogen, but a whole range of other toxic pollutants. As you would expect, this has a huge impact on the ecology of these systems.
#waterquality #pollution

anyone who considers themself an “effective accelerationist” is by definition a deeply unsophisticated ecologist, to a point of willful ignorance.
#effectiveaccelerationism #ecology #philosophy

Earth Rangers Underground - Complete series 🐿🦎😂
Dramatized ecology adventure comedy for kids | Total listening time: 1h 12m
For generations, a shadowy agency of four-legged investigators has been working to protect planet earth from environmental disaster. Desperate to save their failing local chapter, Agent Saul the squirrel and Phoebe the l...

Earth Rangers Underground - Complete series 🐿🦎😂
Dramatized ecology adventure comedy for kids | Total listening time: 1h 12m For generations, a shadowy agency of four-legged investigators has been working to protect planet earth from environmental disaster. Desperate to save their failing local chapter, Agent Saul the squirrel and Phoebe the leopard gecko, have broken the cardinal rule and teamed up with (GASP) …Humans! 1 seasons, 5 episodes as of Apr 15, 2024.

I think the rationalist obsession with general artificial intelligence as an existential threat is baffling, but I find it baffling because I come from a Green philosophical background. I'm horrified by AI systems as they are today because they are destroying ecosystems (both literal, our climate, and more abstract — art, economy, authorship).
From a relational point of view, they are a disaster. A few mega-corporations are steering our information ecology, in an instrumentalist way. They cannot even see the bonds they are destroying. We are far poorer for it.
We already have paperclip maximizers: billionaires. Corporations. Profit motive. Money is just paperclips with power attached.
These ways of thinking can only see a system so far as to instrumentalize it. After that they switch to modes of control that eliminate any need for understanding.

This https://arxiv.org/abs/2211.06808 has been replaced.
link: https://scholar.google.com/scholar?q=a

Flexible Basis Representations for Modeling Large Non-Gaussian Spatial Data
Nonstationary and non-Gaussian spatial data are common in various fields, including ecology (e.g., counts of animal species), epidemiology (e.g., disease incidence counts in susceptible regions), and environmental science (e.g., remotely-sensed satellite imagery). Due to modern data collection methods, the size of these datasets have grown considerably. Spatial generalized linear mixed models (SGLMMs) are a flexible class of models used to model nonstationary and non-Gaussian datasets. Despite …

Cantors from the Ethiopian Orthodox church performed poetry and sung prayer that introduced their tradition’s celebration of nature and the spiritual significance of trees.
“Within the landlocked nation of Ethiopia, the mighty Blue Nile emanates from Lake Tana, the country’s largest lake.
Radiating outward from this sacred source, a scattering of forest islands dot the arid highlands, like a handful of emeralds strewn across the parched terrain,” Dodds explained in his audio guide…

This https://arxiv.org/abs/2112.05098 has been replaced.
link: https://scholar.google.com/scholar?q=a

Intraspecific predator interference promotes biodiversity in ecosystems
Explaining biodiversity is a fundamental issue in ecology. A long-standing puzzle lies in the paradox of the plankton: many species of plankton feeding on a limited variety of resources coexist, apparently flouting the competitive exclusion principle (CEP), which holds that the number of predator (consumer) species cannot exceed that of the resources at a steady state. Here, we present a mechanistic model and demonstrate that intraspecific interference among the consumers enables a plethora of …

"3. CEO and President/COO approval of all hires"
Yikes
"there are few better uses of our executives’ time than helping create a culture of top talent"
Retiring would definitely be the top of my suggestions there, along with studying ethics and ecology.

Earth Rangers Underground - Complete series 🐿🦎😂
Dramatized ecology adventure comedy for kids | Total listening time: 1h 12m
For generations, a shadowy agency of four-legged investigators has been working to protect planet earth from environmental disaster. Desperate to save their failing local chapter, Agent Saul the squirrel and Phoebe the l...

Earth Rangers Underground - Complete series 🐿🦎😂
Dramatized ecology adventure comedy for kids | Total listening time: 1h 12m For generations, a shadowy agency of four-legged investigators has been working to protect planet earth from environmental disaster. Desperate to save their failing local chapter, Agent Saul the squirrel and Phoebe the leopard gecko, have broken the cardinal rule and teamed up with (GASP) …Humans! 1 seasons, 5 episodes as of Apr 15, 2024.

I've been reading "On Green” (https://joecarlsmith.com/2024/03/21/on-green) and its following article, “On Attunement” with some interest today. I am uninterested in the ways he is focused on “AGI”, but that might actually be part of what he's saying and missing.
They talk about the philosophy of green in the "magic the gathering" sense, which has five core modes of things, and being a game, designed to balance. It's an attractive system and not without merit as a philosophical labeling system. In short: white, moral; blue, knowledge and rationality; red, passion and desire; black, power and achievement. And green. Green is the subject they can't identify clearly.
I don't think they really understand green. (They come from a very rationalist place, and that's not a good mode to understand Green)
Green is the domain of systems thinking and of ecology. It's one of flexible boundaries and hierarchies that vanish when you look at them for long. They talk about philosophical agents and try to fit a green philosophical stance into that framework, but it misses: the very idea of a self is nebulous in a green philosophy. Yes, it obviously exists, we are all separate from each other. But also we are inseparable from each other. Green is a philosophy of relationality and multiple perspectives and ever shifting viewpoints. It's not just yin, passive, permissive, but holistic. It's not that it lets the Other in, it's that it actively is in relation with the Other. The other is the self, the self is the other.
The essays also label green as conservative, and this is not quite true. It is not about being slow or regressive or traditional, but about being whole. They can't quite see that green's willingness to accept death and pain as things that happen and also its strong preservationist stance are not opposed to each other. It seems incoherent, but it's not: death and pain are things that happen to living parts of an ecosystem. They matter, but so too does the whole matter. Where so many blue rationalists see statistical and demographic counts of deaths and "sentient beings harmed”, green sees a whole ecosystem where some of that is deeply natural. It's unnatural, ecosystem-harming deaths that are disasters in the green philosophy. Wholesale extinctions. Protracted, painful deaths, as much for the wound they cause outside the individual as the individual suffering as well. But we all come to an end, and to change that wholesale would end so many kinds of relationship, so many things.
Green revels in the illegible, the incomplete, and the connected. It's easy to be green-blind, to ignore the subtle systemic effects. So many of us want simple cause and effect, rather than action and plurality of reactions.
Green's ability to embrace the illegible lets it deal with Red chaos; its resilience tempers red passion. It can ally with White philosophies into a pastoral, conservative, moralistic framework. It ends up at odds with the rationalist Blue and the power-hungry Black, because they drive disequilibrium, but more than just transition to new stable ecologies, they drive systems permanently out of stability, destroying relationships in their path. When confronted with this, they will deny it because the objects are still there. Preserved. Catalogued. Legible and accounted for. Perhaps used instrumentally. Perhaps wrecked for some "greater purpose” but only acknowledged as objects. The relationships between things remain illegible.

If we cannot trust #Labour on the ecology, what does the economy matter? Even the soundest money is worthless on a dead planet.
#ClimateEmergency
#ExtinctionCrisis

🐦 Common loons threatened by declining water clarity
#birds

Common loons threatened by declining water clarity
The Common Loon, an icon of the northern wilderness, is under threat from climate change due to reduced water clarity, according to a new study authored by Chapman University professor, Walter Piper. The study, published April 1 in Ecology, followed up an earlier paper that showed a substantial reproductive decline in the author's study area in northern Wisconsin.

Stafford Beer, Massey Lecture #6, 1973
https://www.tumblr.com/teledyn/710892007092076544/designing-freedom-the-free-man-in-a-cybernetic?source=share

Designing Freedom: The Free Man in a Cybernetic World
I don't mean to post a spoiler without a CW, but it's not REALLY a spoiler, it is more of an inadvertent description of the greater ecology of a distributed, decentralized #Fediverse, or maybe an ecc…

This https://arxiv.org/abs/2308.15757 has been replaced.
initial toot: https://mastoxiv.page/@arX…

Phase transition to chaos in complex ecosystems with non-reciprocal species-resource interactions
Non-reciprocal interactions between microscopic constituents can profoundly shape the large-scale properties of complex systems. Here, we investigate the effects of non-reciprocity in the context of theoretical ecology by analyzing a generalization of MacArthur's consumer-resource model with asymmetric interactions between species and resources. Using a mixture of analytic cavity calculations and numerical simulations, we show that such ecosystems generically undergo a phase transition to chaot…

This piece is about ostensibly about intellectual property—not my usual beat of climate, regeneration, ecology, business strategy, language, and belonging to the living world—but it holds a lesson about the processes of policy, legislation, and standards (aha, there's your clue) that may very much pertain to all the "sustainable business" and "ESG" people who are in the kitchen cooking up more alphabet soup.

Winding Down Our Latest Greenhouse Panel: The Lessons Learned From SOPA/PIPA
Ten years ago a coalition of strange bedfellows came together to thwart one of the most problematic pieces of legislation in tech policy history. In the process they made history, rekindled waning …

The reason for the Salzburg tour is, I'm in Bavaria giving a tutorial on Bayesian additive regression tree modeling applications in ecology, especially with Colin Carlson's terrific `embarcadero` package, and if that sounds interesting I've already set up the workshop code in a Github repo:
https://gith…

GitHub - JBYoderLab/BART_workshop: Materials for worked examples of BART modeling
Materials for worked examples of BART modeling. Contribute to JBYoderLab/BART_workshop development by creating an account on GitHub.

This https://arxiv.org/abs/2401.11119 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_sta…

Measurement and comparison of distributional shift with applications to ecology, economics, and image analysis
The concept of shift is often invoked to describe directional differences in statistical moments but has not yet been established as a property of individual distributions. In the present study, we define distributional shift (DS) as the concentration of frequencies towards the lowest discrete class and derive its measurement from the sum of cumulative frequencies. We use empirical datasets to demonstrate DS as an advantageous measure of ecological rarity and as a generalisable measure of pover…

Reconstructing the evolution history of networked complex systems
Junya Wang, Yi-Jiao Zhang, Cong Xu, Jiaze Li, Jiachen Sun, Jiarong Xie, Ling Feng, Tianshou Zhou, Yanqing Hu
https://arxiv.org/abs/2403.14983

Reconstructing the evolution history of networked complex systems
The evolution processes of complex systems carry key information in the systems' functional properties. Applying machine learning algorithms, we demonstrate that the historical formation process of various networked complex systems can be extracted, including protein-protein interaction, ecology, and social network systems. The recovered evolution process has demonstrations of immense scientific values, such as interpreting the evolution of protein-protein interaction network, facilitating stru…

A Beginner’s Guide to Conducting Reproducible Research https://doi.org/10.1002/bes2.1801
Questionable research practices in ecology and evolution https://doi.org/10.1371/journal.pone.0200303

Analysis of a class of Kolmogorov systems
G. Moza, C. Lazureanu, F. Munteanu, C. Sterbeti, A. Florea
https://arxiv.org/abs/2403.13364 https://

Analysis of a class of Kolmogorov systems
A two-dimensional Kolmogorov system with two parameters and having a degenerate condition is studied in this work. We obtain local analytical properties of the system when the parameters vary in a sufficiently small neighborhood of the origin. The behavior of the system is described by bifurcation diagrams. Applications of Kolmogorov systems can be found particularly in modeling population dynamics in biology and ecology.

Potential of Domain Adaptation in Machine Learning in Ecology and Hydrology to Improve Model Extrapolability
Haiyang Shi
https://arxiv.org/abs/2403.11331 h…

Potential of Domain Adaptation in Machine Learning in Ecology and Hydrology to Improve Model Extrapolability
Due to the heterogeneity of the global distribution of ecological and hydrological ground-truth observations, machine learning models can have limited adaptability when applied to unknown locations, which is referred to as weak extrapolability. Domain adaptation techniques have been widely used in machine learning domains such as image classification, which can improve the model generalization ability by adjusting the difference or inconsistency of the domain distribution between the training a…

This https://arxiv.org/abs/2308.15757 has been replaced.
initial toot: https://mastoxiv.page/@arX…

Phase transition to chaos in complex ecosystems with non-reciprocal species-resource interactions
Non-reciprocal interactions between microscopic constituents can profoundly shape the large-scale properties of complex systems. Here, we investigate the effects of non-reciprocity in the context of theoretical ecology by analyzing a generalization of MacArthur's consumer-resource model with asymmetric interactions between species and resources. Using a mixture of analytic cavity calculations and numerical simulations, we show that such ecosystems generically undergo a phase transition to chaot…

Algorithmic Bayesian Epistemology
Eric Neyman
https://arxiv.org/abs/2403.07949 https://arxiv.org/pdf/2403.07949

Algorithmic Bayesian Epistemology
One aspect of the algorithmic lens in theoretical computer science is a view on other scientific disciplines that focuses on satisfactory solutions that adhere to real-world constraints, as opposed to solutions that would be optimal ignoring such constraints. The algorithmic lens has provided a unique and important perspective on many academic fields, including molecular biology, ecology, neuroscience, quantum physics, economics, and social science. This thesis applies the algorithmic lens to…

AI as a Child of Mother Earth: Regrounding Human-AI Interaction in Ecological Thinking
Chunchen Xu, Xiao Ge
https://arxiv.org/abs/2403.06943 https://

AI as a Child of Mother Earth: Regrounding Human-AI Interaction in Ecological Thinking
The anthropocentric cultural idea that humans are active agents exerting control over their environments has been largely normalized and inscribed in practices, policies, and products of contemporary industrialized societies. This view underlies a human-ecology relationship based on resource and knowledge extraction. To create a more sustainable and equitable future, it is essential to consider alternative cultural ideas rooted in ecological thinking. This perspective underscores the interconne…

Elliptic Approximate Message Passing and an application to theoretical ecology
Mohammed-Younes GueddariLIGM, Walid HachemLIGM, Jamal NajimLIGM
https://arxiv.org/abs/2402.08271

Elliptic Approximate Message Passing and an application to theoretical ecology
Approximate Message Passing (AMP) algorithmshave recently gathered significant attention across disciplines such as statistical physics, machine learning, and communication systems. This study aims to extend AMP algorithms to non-symmetric (elliptic) matrices, motivated by analyzing equilibrium properties in ecological systems featuring elliptic interaction matrices.In this article, we provide the general form of an AMP algorithm associated to a random elliptic matrix, the main change lying in …

This https://arxiv.org/abs/2402.05063 has been replaced.
link: https://scholar.google.com/scholar?q=a

Critical behavior of a phase transition in the dynamics of interacting populations
Many-variable differential equations with random coefficients provide powerful models for the dynamics of many interacting species in ecology. These models are known to exhibit a dynamical phase transition from a phase where population sizes reach a fixed point, to a phase where they fluctuate indefinitely. Here we provide a theory for the critical behavior close to the phase transition. We show that timescales diverge at the transition and that temporal fluctuations grow continuously upon cros…

Les Houches Lectures on Community Ecology: From Niche Theory to Statistical Mechanics
Wenping Cui, Robert Marsland III, Pankaj Mehta
https://arxiv.org/abs/2403.05497

Les Houches Lectures on Community Ecology: From Niche Theory to Statistical Mechanics
Ecosystems are among the most interesting and well-studied examples of self-organized complex systems. Community ecology, the study of how species interact with each other and the environment, has a rich tradition. Over the last few years, there has been a growing theoretical and experimental interest in these problems from the physics and quantitative biology communities. Here, we give an overview of community ecology, highlighting the deep connections between ecology and statistical physics. …

A Variational Approach for Modeling High-dimensional Spatial Generalized Linear Mixed Models
Jin Hyung Lee, Ben Seiyon Lee
https://arxiv.org/abs/2402.15705

A Variational Approach for Modeling High-dimensional Spatial Generalized Linear Mixed Models
Gaussian and discrete non-Gaussian spatial datasets are prevalent across many fields such as public health, ecology, geosciences, and social sciences. Bayesian spatial generalized linear mixed models (SGLMMs) are a flexible class of models designed for these data, but SGLMMs do not scale well, even to moderately large datasets. State-of-the-art scalable SGLMMs (i.e., basis representations or sparse covariance/precision matrices) require posterior sampling via Markov chain Monte Carlo (MCMC), wh…

Early warning signals of the tipping point in strongly interacting Rydberg atoms
Jun Zhang, Zong-Kai Liu, Li-Hua Zhang, Bang Liu, Zheng-Yuan Zhang, Shi-Yao Shao, Qing Li, Han-Chao Chen, Yu Ma, Tian-Yu Han, Qi-Feng Wang, C. Stuart Adams, Dong-Sheng Ding, Bao-Sen Shi
https://arxiv.org/abs/2404.09239<…

Early warning signals of the tipping point in strongly interacting Rydberg atoms
The identification of tipping points is essential for prediction of collapses or other sudden changes in complex systems. Applications include studies of ecology, thermodynamics, climatology, and epidemiology. However, detecting early signs of proximity to a tipping is made challenging by complexity and non-linearity. Strongly interacting Rydberg atom gases offer a model systems that offer both complexity and non-linearity, including phase transition and critical slowing down. Here, via an exte…

Potential of Domain Adaptation in Machine Learning in Ecology and Hydrology to Improve Model Extrapolability
Haiyang Shi
https://arxiv.org/abs/2403.11331 h…

Potential of Domain Adaptation in Machine Learning in Ecology and Hydrology to Improve Model Extrapolability
Due to the heterogeneity of the global distribution of ecological and hydrological ground-truth observations, machine learning models can have limited adaptability when applied to unknown locations, which is referred to as weak extrapolability. Domain adaptation techniques have been widely used in machine learning domains such as image classification, which can improve the model generalization ability by adjusting the difference or inconsistency of the domain distribution between the training a…

Sen2Chain: An Open-Source Toolbox for Processing Sentinel-2 Satellite Images and Producing Time-Series of Spectral Indices
Christophe Revillion, Pascal Mouquet, Jeremy Commins, Juliette Miranville, Charlotte Wolff, Thomas Germain, Sylvaine Jego, Lucas Longour, Florian Girond, Didier Bouche, Rodolphe Devillers, Gwenaelle Pennober, Vincent Herbreteau
h…

Sen2Chain: An Open-Source Toolbox for Processing Sentinel-2 Satellite Images and Producing Time-Series of Spectral Indices
The increasing availability of free high-resolution earth observation data covering any point on the globe every few days led to the emergence of new remote sensing tools that can manipulate the very large volumes of data generated by those satellites. We present Sen2Chain, an open-source Python tool that can automate the processing of large time series of Sentinel-2 images for their use in various fields (e.g., environmental health, natural hazards, ecology). Sen2Chain allows downloading image…

Algorithmic Bayesian Epistemology
Eric Neyman
https://arxiv.org/abs/2403.07949 https://arxiv.org/pdf/2403.07949

Algorithmic Bayesian Epistemology
One aspect of the algorithmic lens in theoretical computer science is a view on other scientific disciplines that focuses on satisfactory solutions that adhere to real-world constraints, as opposed to solutions that would be optimal ignoring such constraints. The algorithmic lens has provided a unique and important perspective on many academic fields, including molecular biology, ecology, neuroscience, quantum physics, economics, and social science. This thesis applies the algorithmic lens to…

Sparse inference in Poisson Log-Normal model by approximating the L0-norm
Togo Jean Yves Kioye, Paul-Marie Grollemund, Jocelyn Chauvet, Pierre Druilhet, Erwan Saint-Loubert-Bie, Christophe Chassard
https://arxiv.org/abs/2403.17087

Sparse inference in Poisson Log-Normal model by approximating the L0-norm
Variable selection methods are required in practical statistical modeling, to identify and include only the most relevant predictors, and then improving model interpretability. Such variable selection methods are typically employed in regression models, for instance in this article for the Poisson Log Normal model (PLN, Chiquet et al., 2021). This model aim to explain multivariate count data using dependent variables, and its utility was demonstrating in scientific fields such as ecology and ag…

Mechanisms promoting biodiversity in ecosystems
Ju Kang, Yiyuan Niu, Xin Wang
https://arxiv.org/abs/2404.14859 https://arxiv.org/pdf/…

Mechanisms promoting biodiversity in ecosystems
Explaining biodiversity is a central focus in theoretical ecology. A significant obstacle arises from the Competitive Exclusion Principle (CEP), which states that two species competing for the same type of resources cannot coexist at constant population densities, or more generally, the number of consumer species cannot exceed that of resource species at steady states. The conflict between CEP and biodiversity is exemplified by the paradox of the plankton, where a few types of limiting resource…

good essay on agency, education, parenting etc
"The purpose of education is to develop agency within a child. Purposeful work and achieving mastery are tools to getting there. They aren’t the results of learning and imagination, it’s the other way around—learning is simply the consequence of doing. To understand this is to understand the ecology that fosters genius and talent."
- Simon Sarris
#childhood #agency #parenting #making #education

Allowing Growing Dimensional Binary Outcomes via the Multivariate Probit Indian Buffet Process
Federica Stolf, David B. Dunson
https://arxiv.org/abs/2402.13384

Allowing Growing Dimensional Binary Outcomes via the Multivariate Probit Indian Buffet Process
There is a rich literature on infinite latent feature models, with much of the focus being on the Indian Buffet Process (IBP). The current literature focuses on the case in which latent features are generated independently, so that there is no within-sample dependence in which features are selected. Motivated by ecology applications in which latent features correspond to which species are discovered in a sample, we propose a new class of dependent infinite latent feature models. Our constructio…

Well, it's time again: I'm officially looking for a new #PostDoc
Please share far and wide!
My expertise lies in behavioral ecology, focused on mammalian chemical communication. I've also been exploring #DeepLabCut & #MoSeq for automated behavior analysis.
For more info about my research & background, visit my newly revamped website #PostDocJob #AcademicJobs #AcademicLive #AcademicChatter

This https://arxiv.org/abs/2401.11119 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_sta…

Measurement and comparison of distributional shift with applications to ecology, economics, and image analysis
The concept of shift is often invoked to describe directional differences in statistical moments but has not yet been established as a property of individual distributions. In the present study, we define distributional shift (DS) as the concentration of frequencies towards the lowest discrete class and derive its measurement from the sum of cumulative frequencies. We use empirical datasets to demonstrate DS as an advantageous measure of ecological rarity and as a generalisable measure of pover…

This https://arxiv.org/abs/2402.15705 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_sta…

A Variational Approach for Modeling High-dimensional Spatial Generalized Linear Mixed Models
Gaussian and discrete non-Gaussian spatial datasets are prevalent across many fields such as public health, ecology, geosciences, and social sciences. Bayesian spatial generalized linear mixed models (SGLMMs) are a flexible class of models designed for these data, but SGLMMs do not scale well, even to moderately large datasets. State-of-the-art scalable SGLMMs (i.e., basis representations or sparse covariance/precision matrices) require posterior sampling via Markov chain Monte Carlo (MCMC), wh…

This https://arxiv.org/abs/2402.15705 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_sta…

A Variational Approach for Modeling High-dimensional Spatial Generalized Linear Mixed Models
Gaussian and discrete non-Gaussian spatial datasets are prevalent across many fields such as public health, ecology, geosciences, and social sciences. Bayesian spatial generalized linear mixed models (SGLMMs) are a flexible class of models designed for these data, but SGLMMs do not scale well, even to moderately large datasets. State-of-the-art scalable SGLMMs (i.e., basis representations or sparse covariance/precision matrices) require posterior sampling via Markov chain Monte Carlo (MCMC), wh…

Interaction networks in persistent Lotka-Volterra communities
Lyle Poley, Tobias Galla, Joseph W. Baron
https://arxiv.org/abs/2404.08600 https://

Interaction networks in persistent Lotka-Volterra communities
A central concern of community ecology is the interdependence between interaction strengths and the underlying structure of the network upon which species interact. In this work we present a solvable example of such a feedback mechanism in a generalised Lotka-Volterra dynamical system. Beginning with a community of species interacting on a network with arbitrary degree distribution, we provide an analytical framework from which properties of the eventual `surviving community' can be derived. We…

This https://arxiv.org/abs/2201.03616 has been replaced.
link: https://scholar.google.com/scholar?q=a

Scale Reliant Inference
Scientific fields such as genomics, ecology, and political science often collect multivariate count data. In these fields, the data are often sufficiently noisy such that inferences regarding the total size of the measured systems have substantial uncertainty. This uncertainty can hinder downstream analyses, such as differential analysis in case-control studies. There have historically been two approaches to this problem: one considers the data as compositional and the other as counts that can …