Results 121 to 130 of about 1,853,662 (312)

Vine copula knockoffs for variable selection in gene expression studies

Canadian Journal of Statistics, EarlyView.
Abstract Identifying clinical and genetic markers is essential for stratifying cancer patients by survival outcomes and guiding personalized treatment strategies. However, gene expression studies often involve high‐dimensional predictors with mixed data types and complex dependence, which complicates reliable variable selection.
José Ulises Márquez Urbina, Alejandro Román Vásquez, Graciela González Farías, Gabriel Escarela   +3 more
wiley   +1 more source

The evolution of farm size distribution: revisiting the Markov chain model [PDF]

In this paper, a continuous version of the Markov Chain Model (MCM) is proposed to project the number and the population structure of farms. It is then applied to the population of professional French farms.
Piet, Laurent
core  

Extreme conditional quantile estimation for time series

Canadian Journal of Statistics, EarlyView.
Abstract We consider the estimation of an extreme conditional quantile QY(1−p|x0)$$ {Q}_Y\left(1-p|{x}_0\right) $$ for a heavy‐tailed distribution in the case of a strictly stationary time series (Xt,Yt)t∈ℤ$$ {\left({X}_t,{Y}_t\right)}_{t\in \mathbb{Z}} $$. Here, QY(·|x0)$$ {Q}_Y\left(\cdotp |{x}_0\right) $$ denotes the conditional quantile function of
Yuri Goegebeur, Armelle Guillou, Jing Qin   +2 more
wiley   +1 more source

Non‐Invasive Estimation of Systemic Drug Exposure Using Exhaled Breath Metabolomics in Humans: A Translational Proof‐of‐Concept Study

Clinical Pharmacology &Therapeutics, EarlyView.
Accurate assessment of systemic drug exposure in humans remains challenging, as conventional approaches rely on intermittent blood sampling and laboratory‐based assays that are invasive and provide limited temporal resolution. Exhaled breath contains volatile and semi‐volatile compounds arising from drug metabolism and downstream biological processes ...
Kai Fricke, Diego M. Baur, Kapil Dev Singh, Felix Schmidt, Kathrin Müsch, Noriane A. Sievi, Marco Di Donato, Anton Schmick, Jonas Herth, Silvia Ulrich, Pablo Sinues, Marian Galovic, Malcolm Kohler   +12 more
wiley   +1 more source

Labor Market Entry and Earnings Dynamics: Bayesian Inference Using Mixtures-of-Experts Markov Chain Clustering [PDF]

This paper analyzes patterns in the earnings development of young labor market en- trants over their life cycle. We identify four distinctly di®erent types of transition patterns between discrete earnings states in a large administrative data set ...
Sylvia Frühwirth-Schnatter, Rudolf Winter-Ebmer, Andrea Weber   +2 more
core   +2 more sources

Particle Filters for Markov Switching Stochastic Volatility Models [PDF]

This paper proposes an auxiliary particle filter algorithm for inference in regime switching stochastic volatility models in which the regime state is governed by a first-order Markov chain.
Boda Kang, Yun Bao, Carl Chiarella
core  

Spatial variation in liana effects on host‐tree allometry and biomass in an intact tropical forest

Ecography, EarlyView.
Lianas are increasing in abundance across the tropics, yet local spatial variation in their effects on host‐tree allometry and biomass, and the drivers of this variation within forests, remain poorly understood. Using field inventory, drone photogrammetry, and terrestrial laser scanning (TLS) across a 50‐ha plot on Barro Colorado Island, Panama, we ...
Sruthi M. Krishna Moorthy, Félicien Meunier, Stefan A. Schnitzer, Kim Calders, David M. DeFilippis, Antonio Aguilar, Nancy Pausenberger, Marco D. Visser, Helene C. Muller‐Landau, Hans Verbeeck   +9 more
wiley   +1 more source

Markov Chains with Rewinding

CoRR
Motivated by techniques developed in recent progress on lower bounds for sublinear time algorithms (Behnezhad, Roghani and Rubinstein, STOC 2023, FOCS 2023, and STOC 2024) we introduce and study a new class of randomized algorithmic processes that we call Markov Chains with Rewinding. In this setting, an algorithm interacts with a (partially observable)
Amir Azarmehr, Soheil Behnezhad, Alma Ghafari, Madhu Sudan 0001   +3 more
openaire   +2 more sources

From patterns to predictions: a framework for the spatial epidemiology of wildlife diseases

Ecography, EarlyView.
Wildlife diseases pose a significant threat to biodiversity conservation, public health, and livestock. Spatial epidemiology provides a robust framework to understand disease dynamics and guide policy and management. However, the rapid proliferation of spatial methods has largely occurred in isolation across disciplines, leaving the field without a ...
Cesar Herraiz, Pelayo Acevedo
wiley   +1 more source

Species traits mediate terrestrial mammal density responses to human impacts

Ecography, EarlyView.
Human activities are reshaping ecosystems, but their effects on species population density remain poorly understood. Most studies focus on species presence–absence, thus limiting insight into how anthropogenic pressures affect population density. Emerging evidence suggests that responses of natural populations to human disturbance are highly variable ...
Luca Santini, Diana E. Bowler, Roberto Salguero‐Gómez, Inês S. Martins, Franziska Schrodt, Romain Frelat, Mickael Hedde, Naia Morueta‐Holme, Pierre Gaüzère, Cyrille Violle, Romain Goury, Joaquim Estopinan, Miriam Beck, Wilfried Thuiller   +13 more
wiley   +1 more source