Tootfinder

Negative-Binomial Randomized Gamma Markov Processes for Heterogeneous Overdispersed Count Time Series
Rui Huang, Sikun Yang, Heinz Koeppl
https://arxiv.org/abs/2402.18995

Negative-Binomial Randomized Gamma Markov Processes for Heterogeneous Overdispersed Count Time Series
Modeling count-valued time series has been receiving increasing attention since count time series naturally arise in physical and social domains. Poisson gamma dynamical systems (PGDSs) are newly-developed methods, which can well capture the expressive latent transition structure and bursty dynamics behind count sequences. In particular, PGDSs demonstrate superior performance in terms of data imputation and prediction, compared with canonical linear dynamical system (LDS) based methods. Despite…

Twintigers trekken van de Randstad naar Gelderland voor eigen voedselbos: ‘Zelf zien hoe het landschap herstelt’ | de Volkskrant https://archive.ph/2024.05.01-072701/h

Bivariate first-order random coefficient integer-valued autoregressive processes based on modified negative binomial operator
Yixuan Fan, Dehui Wang
https://arxiv.org/abs/2404.17843

Bivariate first-order random coefficient integer-valued autoregressive processes based on modified negative binomial operator
In this paper, a new bivariate random coefficient integer-valued autoregressive process based on modified negative binomial operator with dependent innovations is proposed. Basic probabilistic and statistical properties of this model are derived. To estimate unknown parameters, Yule-Walker, conditional least squares and conditional maximum likelihood methods are considered and evaluated by Monte Carlo simulations. Asymptotic properties of the estimators are derived. Moreover, coherent forecasti…

Sequential Change-point Detection for Binomial Time Series with Exogenous Variables
Yajun Liu, Beth Andrews
https://arxiv.org/abs/2402.17274 https://

Sequential Change-point Detection for Binomial Time Series with Exogenous Variables
Sequential change-point detection for time series enables us to sequentially check the hypothesis that the model still holds as more and more data are observed. It's widely used in data monitoring in practice. Meanwhile, binomial time series, which depicts independent binary individual behaviors within a group when the individual behaviors are dependent on past observations of the whole group, is an important type of model in practice but hasn't been developed well. We first propose a Binomial …

Een zorgvuldige, uitgebreide en toegankelijke samenvatting van het WHO document dat deze week uitkwam waarin de WHO eindelijk maar dan toch toegeeft dat #COVIDisAirborne. Hopelijk het begin van een Schone Binnenlucht Revolutie! #SBR

Thread by @_CatintheHat on Thread Reader App
@_CatintheHat: 🚨 Indoor AIRBORNE Risk Assessment in the context of SARS-CoV-2 from the World Health Organisation (@WHO) For clean air advocates, this is HUGE! The WHO are finally saying, loud & proud: COVID IS AIRBO...…

Vruchtensap en havermelk belast als suikerhoudende drank? Kabinet laat de Kamer zelf kiezen | de #Volkskrant
https://www.volks…

Mneimneh-type Binomial Sums of Multiple Harmonic-type Sums
Ende Pan, Ce Xu
https://arxiv.org/abs/2403.17952 https://arxiv.org/pdf/240…

Mneimneh-type Binomial Sums of Multiple Harmonic-type Sums
In this paper, we establish some expressions of Mneimneh-type binomial sums involving multiple harmonic-type sums in terms of finite sums of Stirling numbers, Bell numbers and some related variables. In particular, we present some new formulas of Mneimneh-type binomial sums involving generalized (alternating) harmonic numbers. Further, we establish a new identity relating the multiple zeta star values $ζ^\star(m+2,\{1\}_{r-1})$ and specific multiple polylogarithms by applying the Toeplitz prin…

Is de NOS nou toch een rechtse club, of is grensoverschrijdend gedrag links geworden, of is het iets van mensen met een piemel, links en rechts even vervelend? https://mastodon.nl/@volkskrant/111856307614701536

Sequential Change-point Detection for Binomial Time Series with Exogenous Variables
Yajun Liu, Beth Andrews
https://arxiv.org/abs/2402.17274 https://

Sequential Change-point Detection for Binomial Time Series with Exogenous Variables
Sequential change-point detection for time series enables us to sequentially check the hypothesis that the model still holds as more and more data are observed. It's widely used in data monitoring in practice. Meanwhile, binomial time series, which depicts independent binary individual behaviors within a group when the individual behaviors are dependent on past observations of the whole group, is an important type of model in practice but hasn't been developed well. We first propose a Binomial …

Een zorgvuldige, uitgebreide en toegankelijke samenvatting van het WHO document dat deze week uitkwam waarin de WHO eindelijk maar dan toch toegeeft dat #COVIDisAirborne. Hopelijk het begin van een Schone Binnenlucht Revolutie! #SBR

Thread by @_CatintheHat on Thread Reader App
@_CatintheHat: 🚨 Indoor AIRBORNE Risk Assessment in the context of SARS-CoV-2 from the World Health Organisation (@WHO) For clean air advocates, this is HUGE! The WHO are finally saying, loud & proud: COVID IS AIRBO...…