Results 221 to 230 of about 498,137 (306)
Repelled Point Processes With Application to Numerical Integration
Scandinavian Journal of Statistics, EarlyView.ABSTRACT We look at Monte Carlo numerical integration from a stochastic geometry point of view. While crude Monte Carlo estimators relate to linear statistics of a homogeneous Poisson point process (PPP), linear statistics of more regularly spread point processes can yield unbiased estimators with faster‐decaying variance, and thus lower integration ...
Diala Hawat +3 more
wiley +1 more source
Bayesian Inference for Multivariate Monotone Densities
Scandinavian Journal of Statistics, EarlyView.ABSTRACT We consider a nonparametric Bayesian approach to estimation and testing for a multivariate monotone density. Instead of following the conventional Bayesian approach of imposing a prior that satisfies the monotonicity restriction, we place a prior on the step heights via binning and a Dirichlet distribution. The resulting posterior distribution
Kang Wang, Subhashis Ghosal
wiley +1 more source
Tijdschrift voor Economische en Sociale Geografie, EarlyView.Abstract In a highly interconnected global landscape, where shocks can have far‐reaching spill‐over effects, the emphasis on enhancing resilience has naturally grown, capturing the interest of policymakers. This study examines regional (NUTS2) economic resilience over the Great Recession and the COVID‐19 pandemic.
Cristian Incaltarau
wiley +1 more source
Digital N‐of‐1 trials and their application in experimental physiology
Experimental Physiology, EarlyView.Abstract Traditionally, studies in experimental physiology have been conducted in small groups of human participants, animal models or cell lines. Identifying optimal study designs that achieve sufficient power for drawing proper statistical inferences to detect group level effects with small sample sizes has been challenging. Moreover, average effects
Stefan Konigorski +2 more
wiley +1 more source
The Journal of Physiology, EarlyView.Abstract figure legend In this study, we use human‐induced pluripotent stem cell‐derived cardiomyocyte (hiPSC‐CM) experiments and computational modelling to identify the mechanism of action of drug compounds. In the hiPSC‐CM experiments, optical measurements of cell collections are recorded in the baseline case and after drug exposure.
Karoline Horgmo Jæger +4 more
wiley +1 more source
Translating cardiovascular ion channel and Ca2+ signalling mechanisms into therapeutic insights
The Journal of Physiology, EarlyView.Abstract figure legend This white paper integrates mechanistic discoveries across ion channel biology, Ca2+ signalling and multiscale cardiovascular physiology to highlight new opportunities for accelerating research and guiding next‐generation therapies. Printed with permission from ®Anita Impagliazzo Medical Illustration. [Correction added on 2 March
Silvia Marchianò +18 more
wiley +1 more source
Advanced Control for Applications, Volume 8, Issue 3, September 2026.Schematic diagram of the whale optimization algorithm (WOA)–optimized fuzzy proportional–integral–derivative (PID) controller. The WOA is employed to dynamically tune the scaling factor expressions and fuzzy control parameters (a(e)a(e), a(ec)a(ec), βpβp, βiβi), as well as the initial PID gains (kp0kp0, ki0ki0), based on the error (ee) and its ...
Xiaosong Tian +7 more
wiley +1 more source
Bayesian Implementation of the Factor‐Analytic Mixed Model and Application to Embeddings
Stat, Volume 15, Issue 3, September 2026.ABSTRACT Mixed models and neural networks each offer complementary frameworks for prediction. Theoretically grounded in inference, mixed models can unveil latent variance structure notably with the factor‐analytic approach. In this article, we propose to bridge the gap between the two frameworks, leveraging embedding data from a neural network encoder ...
Alexandre Marchal +3 more
wiley +1 more source
Modeling Markov switching ARMA-GARCH neural networks models and an application to forecasting stock returns. [PDF]
ScientificWorldJournal, 2014 Bildirici M, Ersin Ö.
europepmc +1 more source