Results 201 to 210 of about 1,517,214 (350)
Affect control processes: Intelligent affective interaction using a partially observable Markov decision process [PDF]
J. Hoey+2 more
semanticscholar +1 more source
Fast and scalable inference for spatial extreme value models
Abstract The generalized extreme value (GEV) distribution is a popular model for analyzing and forecasting extreme weather data. To increase prediction accuracy, spatial information is often pooled via a latent Gaussian process (GP) on the GEV parameters. Inference for GEV‐GP models is typically carried out using Markov Chain Monte Carlo (MCMC) methods,
Meixi Chen, Reza Ramezan, Martin Lysy
wiley +1 more source
Mapping Interictal activity in epilepsy using a hidden Markov model: A magnetoencephalography study
In this study, we use hidden Markov modeling (HMM) to create a unique statistical model of interictal brain activity for 10 pediatric epilepsy patients. This data‐driven model produces an output unique to each patient, and is used to localize the epileptogenic area(s).
Zelekha A. Seedat+13 more
wiley +1 more source
Robust causal inference for point exposures with missing confounders
Abstract Large observational databases are often subject to missing data. As such, methods for causal inference must simultaneously handle confounding and missingness; surprisingly little work has been done at this intersection. Motivated by this, we propose an efficient and robust estimator of the causal average treatment effect from cohort studies ...
Alexander W. Levis+3 more
wiley +1 more source
A systematic review on the cost‐effectiveness of the computer‐assisted orthopedic system
In the era of precision medicine, the computer‐assisted orthopedic system is fast growing. This review summarizes the cost‐effectiveness analyses with regard to computer‐assisted orthopedic system and explores the potential factors that would influence the cost‐efficiency of this new‐generation technique.
Hua Li+7 more
wiley +1 more source
Vector-valued Markov decision processes and the systems of linear inequalities
Kazuyoshi Wakuta
openalex +1 more source
Probabilistic weighted Dirichlet process mixture with an application to stochastic volatility models
Abstract In this article, we propose a flexible Bayesian modelling framework and investigate the probabilistic weighted Dirichlet process mixture (pWDPM). The construction and properties of a probabilistic weight function are illustrated. The advantage of the pWDPM under the log‐squared transformed stochastic volatility (SV) model is demonstrated.
Peng Sun, Inyoung Kim, Ki‐Ahm Lee
wiley +1 more source
Graphical summary of obesity‐induced NASH progression by LCN2 targeted to HSC activation. Abstract Background and Aims In obesity and type 2 diabetes mellitus, leptin promotes insulin resistance and contributes to the progression of NASH via activation of hepatic stellate cells (HSCs).
Kyung Eun Kim+12 more
wiley +1 more source
Susceptible‐infected‐recovered model with stochastic transmission
Abstract The susceptible‐infected‐recovered (SIR) model is the cornerstone of epidemiological models. However, this specification depends on two parameters only, which results in its lack of flexibility and explains its difficulty to replicate the volatile reproduction numbers observed in practice.
Christian Gouriéroux, Yang Lu
wiley +1 more source
Abstract The treatment scenario for newly‐diagnosed transplant‐ineligible multiple myeloma patients (NEMM) is quickly evolving. Currently, combinations of proteasome inhibitors and/or immunomodulatory drugs +/− the monoclonal antibody Daratumumab are used for first‐line treatment, even if head‐to‐head comparisons are lacking.
Cirino Botta+17 more
wiley +1 more source