Results 171 to 180 of about 167,711 (260)
Abstract Smallholder market participation studies often focus narrowly on selling decisions, overlooking the institutional role of agricultural cooperatives, particularly in contexts like Rwanda, where cooperatives underpin agricultural policy. Consequently, empirical evidence on how cooperative membership shapes farmers’ commercialization across ...
John N. Ng'ombe +3 more
wiley +1 more source
Biological causes and impacts of rugged tree landscapes in phylodynamic inference. [PDF]
Gao J +5 more
europepmc +1 more source
Computers and chess masters: The role of AI in transforming elite human performance
Abstract Advances in Artificial Intelligence (AI) have made significant strides in recent years, often supplementing rather than replacing human performance. The extent of their assistance at the highest levels of human performance remains unclear. We analyse over 11.6 million decisions of elite chess players, a domain commonly used as a testbed for AI
Merim Bilalić, Mario Graf, Nemanja Vaci
wiley +1 more source
Influence of Uninformative Prior Distributions for MCMC Method on Estimating Variance Components in Generalizability Theory. [PDF]
Li G.
europepmc +1 more source
A tutorial on Bayesian model averaging for exponential random graph models
Abstract The use of exponential random graph models (ERGMs) is becoming prevalent in psychology due to their ability to explain and predict the formation of edges between vertices in a network. Valid inference with ERGMs requires correctly specifying endogenous and exogenous effects as network statistics, guided by theory, to represent the network ...
Ihnwhi Heo +2 more
wiley +1 more source
Multi-event dynamic capture-recapture model for big data: Estimating undetected COVID-19 cases in British Columbia, Canada. [PDF]
Olobatuyi K, Ma J, Brown P, Cowen LLE.
europepmc +1 more source
This paper is intended to appear as a chapter for the Handbook of Markov Chain Monte Carlo. The goal of this chapter is to unify various problems at the intersection of Markov chain Monte Carlo (MCMC) and machine learning$\unicode{x2014}$which includes black-box variational inference, adaptive MCMC, normalizing flow construction and transport-assisted ...
Bouchard-Côté, Alexandre +3 more
openaire +1 more source
A Bayes factor framework for unified parameter estimation and hypothesis testing
Abstract The Bayes factor, the data‐based updating factor of the prior to posterior odds of two hypotheses, is a natural measure of statistical evidence for one hypothesis over the other. We show how Bayes factors can also be used for parameter estimation.
Samuel Pawel
wiley +1 more source
Dynamic copula Bayesian network predictive model for assessing the impact of initiative programs on child undernutrition in Ethiopia, 2009-2016. [PDF]
Begashaw GB +3 more
europepmc +1 more source
Abstract In the present study, we extend a stochastic differential equation (SDE) model, the Ornstein–Uhlenbeck (OU) process, to the simultaneous analysis of time series of multiple variables by means of random effects for individuals and variables using a Bayesian framework.
José Ángel Martínez‐Huertas +1 more
wiley +1 more source

