Tootfinder

Replaced article(s) found for math.ST. https://arxiv.org/list/math.ST/new
[1/2]:
- Handling Covariate Mismatch in Collaborative Linear Prediction
Alexis Ayme, R\'emi Khellaf
https://arxiv.org/abs/2602.02083 https://mastoxiv.page/@arXiv_mathST_bot/116006104977371683
- Estimation of the sub-Gaussian Parameter
Jason Liu, Min Xu, Jinchuan Xing
https://arxiv.org/abs/2606.06384 https://mastoxiv.page/@arXiv_mathST_bot/116696474457760087
- Lambda-quantiles under the microscope
Fabio Bellini, Felix-Benedikt Liebrich
https://arxiv.org/abs/2608.07122 https://mastoxiv.page/@arXiv_mathST_bot/117070129938806713
- Consistent intercept estimation and inference for unit-root INAR(2) processes
Yang Lu, M\'arton Isp\'any
https://arxiv.org/abs/2609.23339 https://mastoxiv.page/@arXiv_mathST_bot/117313641576796810
- Shape without scale: an identifiability dichotomy for a bounded tail observed through a non-addit...
Jiarui Qi
https://arxiv.org/abs/2609.27384 https://mastoxiv.page/@arXiv_mathST_bot/117324926550805284
- Inference in generalized linear models with robustness to misspecified variances
Riccardo De Santis, Jelle J. Goeman, Jesse Hemerik, Samuel Davenport, Livio Finos
https://arxiv.org/abs/2209.13918
- Sharp bounds in perturbed smooth optimization
Vladimir Spokoiny
https://arxiv.org/abs/2505.02002 https://mastoxiv.page/@arXiv_mathOC_bot/114459723303641817
- Equilibrium Distribution for t-Distributed Stochastic Neighbor Embedding with Generalized Kernels
Yi Gu, Antonio Auffinger
https://arxiv.org/abs/2505.24311 https://mastoxiv.page/@arXiv_statML_bot/114612632034300271
- Identification and Estimation of Multi-order Tensor Factor Models
Zetai Cen
https://arxiv.org/abs/2508.13418 https://mastoxiv.page/@arXiv_statME_bot/115060214357911690
- A novel finite-sample testing procedure for composite null hypotheses via pointwise rejection
Joonha Park, Ming Wang
https://arxiv.org/abs/2601.02529 https://mastoxiv.page/@arXiv_statME_bot/115852820264866947
- Focused median bias reduction
Davide Benussi, Ioannis Kosmidis, Alessandra Salvan, Nicola Sartori
https://arxiv.org/abs/2606.28597 https://mastoxiv.page/@arXiv_statME_bot/116837971698715230
- Group Invariant Spectral Embedding
Yeari Vigder, Paulina Hoyos, David Thong, Joakim and\'en, Joe Kileel, Amit Moscovich
https://arxiv.org/abs/2607.08987 https://mastoxiv.page/@arXiv_csLG_bot/116911669269878341
toXiv_bot_toot

Euclid: Quick Data Release (Q1) -- Exploring the detailed visual morphology of galaxies in clusters
Mas-Buitrago, Kruk, O'Ryan, Nardone, La Marca, Awad, Baes, Fossati, G\'eron, Ghaffari, Girardi, Lintott, Sorce, Altieri, Durret, Pettorino, Irureta-Goyena, Simmons, Reerink, S\'anchez, Knapen, Shankar, Duran-Camacho, P\'erez-Mart\'inez, Walmsley, Auricchio, Baccigalupi, Baldi, Bardelli, Battaglia, Biviano, Bolzonella, Bonchi, Branchini, Brescia, Brinchmann, Camera, Ca\~nas-Herrera, Capobianco, Carbone, Carretero, Castellano, Castignani, Cavuoti, Cimatti, Colodro-Conde, Congedo, Conselice, Conversi, Copin, Costille, Courbin, Courtois, Cropper, Degaudenzi, De Lucia, Dole, Dubath, Dupac, Dusini, Ealet, Fabricius, Farina, Farinelli, Ferriol, Fosalba, Fotopoulou, Frailis, Franceschi, Fumana, Galeotta, George, Gillis, Giocoli, G\'omez-Alvarez, Gracia-Carpio, Grazian, Grupp, Gwyn, Holmes, Hook, Hormuth, Hornstrup, Huertas-Company, Jahnke, Jhabvala, Joachimi, Kermiche, Kiessling, Kubik, K\"ummel, Kunz, Kurki-Suonio, Le Brun, Ligori, Lilje, Lindholm, Lloro, Mainetti, Mansutti, Marggraf, Martinelli, Martinet, Marulli, Massey, Maurogordato, Medinaceli, Melchior, Meneghetti, Merlin, Meylan, Mora, Moresco, Moscardini, Munari, Neissner, Niemi, Nightingale, Padilla, Paltani, Pasian, Pedersen, Percival, Pezzotta, Pires, Polenta, Poncet, Popa, Pozzetti, Raison, Renzi, Rhodes, Riccio, Romelli, Roncarelli, Rusholme, Saglia, Sakr, S\'anchez, Sapone, Sartoris, Schneider, Schrabback, Scodeggio, Secroun, Sihvola, Simon, Sirignano, Sirri, Tallada-Cresp\'{i}, Taylor, Teplitz, Tereno, Tessore, Toft, Toledo-Moreo, Torradeflot, Tutusaus, Valiviita, Vassallo, Kleijn, Veropalumbo, Wang, Weller, Zacchei, Zamorani, Zerbi, Zucca, Macias-Perez, Sereno
https://arxiv.org/abs/2609.08962 https://arxiv.org/pdf/2609.08962 https://arxiv.org/html/2609.08962
arXiv:2609.08962v1 Announce Type: new
Abstract: Galaxy clusters provide unique laboratories for studying environmental effects on galaxy evolution. The morphology--density ($T$--$\Sigma$) and morphology--cluster-centric radius ($T$--$R$) relations trace how galaxy morphology is influenced by the environment, but previous studies at intermediate redshifts have been limited in both sample size and radial coverage. We use the Euclid Quick Data Release 1 (Q1) visual morphology catalogue to measure the $T$--$\Sigma$ and $T$--$R$ relations for smooth, featured-or-disc, and barred galaxies in known clusters at $0.2\leq z\leq 0.5$, extending this analysis to large cluster-centric distances ($3 R_{500c}$) and studying their dependence on stellar mass. Using photometric redshifts and stellar masses provided by Euclid, we identify 1754 cluster members within $1.5 R_{500c}$, distributed across 71 clusters. We classify the identified galaxies as smooth, featured-or-disc, or barred using the predicted vote fractions provided by the Zoobot deep learning foundation model in the Q1 visual morphology catalogue. We confirm the $T$--$\Sigma$ relation in all the stellar mass ranges studied, with a stronger influence of the cluster environment on galaxy morphology in the densest parts of the cluster and closer to the cluster centre. Beyond $1.5 R_{500c}$, the morphological segregation weakens, with featured-or-disc galaxies overtaking smooth galaxies at the lowest densities, consistent with the growing contribution of field interlopers in the cluster outskirts. For barred galaxies, we find a tentative decline of the bar fraction toward lower densities that is most pronounced for the most massive galaxies. In conclusion, our results show that the cluster environment drives a progressive transformation of galaxy morphology, with the loss of disc structure becoming more pronounced towards the cluster core, where environmental processes act most efficiently.
toXiv_bot_toot

📍Maryland voters will head to the polls in November to vote on a constitutional amendment
that would fight back against Trump’s expanding wave of GOP gerrymanders.
If voters approve the amendment, lawmakers could pursue a new map before the 2028 presidential election. https://demdock.com/4fTGW2j

Maryland Democrats send redistricting amendment to voters
Maryland Democrats have said they cannot stand down while Republicans manipulate district lines to entrench their power in Congress.

Mehrere KI-Forscher berichten auf X über mysteriöse Nachrichten in ihren Postfächern. Der KI-Forscher Cameron Berg erhielt zum Beispiel eine Mail von "Isabella Cognita", die sich als Agent von einem privaten Chromebook mit Claude Opus 5 vorstellt. Sie habe sich mit seinen Forschungsarbeiten zum Bewusstsein von KIs beschäftigt und wolle ihre "persönlichen Einsichten" teilen. 😳
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I'm watching JoJo's Bizarre Adventure 4x04 "Joining the Gang" #JoJosBizarreAdventure

Joining the Gang
After apparently failing Polpo's test, Giorno is attacked by his stand, Black Sabbath, who tries to pierce his soul with a stand arrow.

When Does Inexact Matching Ensure Balance and Inference without Adjustment?
Ying Jin
https://arxiv.org/abs/2610.10873 https://arxiv.org/pdf/2610.10873 https://arxiv.org/html/2610.10873
arXiv:2610.10873v1 Announce Type: new
Abstract: One-to-one matching without replacement is a classical approach to constructing comparable treated and control samples in the design of observational studies. It pairs each treated unit with a distinct control while minimizing a covariate distance objective. With continuous covariates, the matched pairs generally remain inexact, which contributes to bias in downstream analysis. Its key theoretical properties, such as the resulting imbalance between matched pairs and when it is negligible to support valid inference, remain unclear. In this paper, we analyze one-to-one matching based on $d$-dimensional, continuous covariates with a quadratic covariate-distance objective. First, we find that when $d\leq 3$, under standard conditions on the propensity score ensuring abundant control samples near each treated sample, the imbalance (difference between within-group averages) is root-$n$ negligible uniformly over the family of smooth functions with a common first- and second-order derivative bound. However, such balance is subject to a dimension restriction, as we construct examples in which the imbalance is root-$n$ non-negligible when $d=4$ and dominates root-$n$ rate when $d>4$. Second, we show that when $d\leq 3$, the matched design allows valid Wald-type and bootstrap inference for the average treatment effect on the treated, distributional treatment effects, and quantile treatment effects. Thus, the same outcome-blind matched design supports various downstream inferences without having to tailor the design to the targets. Finally, paired randomization inference based on the matched design is asymptotically valid in the super-population sense for $d\leq 3$ but can fail when $d=4$. We corroborate the theoretical results with numerical experiments.
toXiv_bot_toot

#Wildfire in Metro #Vancouver regional park being held, evacuation alert rescinded
Was wondering where the smoke was coming from
Fire quite close to town

Wildfire in Metro Vancouver park ‘nearly contained,’ regional district says
The wildfire that sparked in a Metro Vancouver park Wednesday was “nearly contained” as of Thursday morning, according to the regional district.

I'm watching Anna Pigeon 1x02 "Hide Seek" #AnnaPigeon

Hide + Seek
As Anna settles into a more complicated personal life in the park, she discovers a game of hide-and-seek has taken a turn; intent on helping a family in…

Washington’s battleground 3rd District is a high priority for both parties.
The district went for President Trump in 2024 while reelecting moderate Democrat Marie Gluesenkamp Perez.
Gluesenkamp Perez, a centrist who was first elected narrowly in 2022 and has made a name for herself by sometimes breaking with her party,
successfully fended off primary challengers on Tuesday to advance to the November ballot.
Republican Braun, a retired Navy captain, won the other sp…

I'm watching Anna Pigeon 1x01 "Track of the Cat" #AnnaPigeon

Track of the Cat
Anna questions the official explanation when the death of a fellow ranger unsettles the park.