cushion
发表于 2025-3-26 22:12:21
Approximate Bayesian Inference for Smoking Habit Dynamics in Tuscany,and compare tobacco control policies. We developed a compartmental model to describe the evolution of smoking habits in Tuscany, a region of central Italy. Our model relies on flexible modelling of age and sex-dependent probabilities of starting, quitting, and relapsing from smoking. Furthermore, we
Preamble
发表于 2025-3-27 03:11:06
Mixing Times of a Gibbs Sampler for Probit Hierarchical Models,servations are binary, the probit link function is one of the possible choices to model the probability of success within each group. It is then common to use a Gibbs sampler that alternates sampling from the full conditionals of the local and global parameters. Leveraging on recent advances in [.],
发牢骚
发表于 2025-3-27 08:52:26
A Note on the Dependence Structure of Hierarchical Completely Random Measures,atures. In a nonparametric setting, the borrowing of information is controlled by the dependence structure induced on a vector of random measures. Two different hierarchical specifications are now well-established in the literature: we compare their dependence structures, provide some intuition on h
Classify
发表于 2025-3-27 12:17:52
Observed Patterns of Heat Wave Intensities with Respect to Time and Global Surface Temperature, paper examines the relationship between heat wave intensity and either time and global surface temperature. We present preliminary findings based on a limited number of locations and a single measure of heat wave. We note that trends in extreme phenomena differ from average trends and vary across d
战胜
发表于 2025-3-27 15:36:07
Expectation Propagation for the Smoothing Distribution in Dynamic Probit,ough this is computationally tractable in small-to-moderate settings, it may become computationally impractical in higher dimensions. In this work, adapting a recent more general class of expectation propagation (.) algorithms, we derive an efficient . routine to perform inference for such a distrib
忙碌
发表于 2025-3-27 18:31:50
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Enrage
发表于 2025-3-27 22:10:17
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商议
发表于 2025-3-28 03:13:03
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PLUMP
发表于 2025-3-28 08:34:47
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Iniquitous
发表于 2025-3-28 14:18:36
Caryn Hoang,James D. Miles,Kim-Phuong L. Vurocess, the Speed Up Zig-Zag (SUZZ) process, was later suggested in Vasdekis G. and Roberts G. O. (2023+) [.] as a way to explore the tails of the distribution faster, making it an ideal candidate for heavy tailed targets. In this article we will describe the SUZZ process, we will review the main th