Results 251 to 260 of about 112,632 (333)

A Randomized Quasi-Monte Carlo Simulation Method for Markov Chains

, 2005
Pierre L’Ecuyer, Bruno Tuffin, Rami El Haddad   +2 more
openalex   +1 more source

Tumor Model Fitting using Markov Chain Monte Carlo Method

Martin Ferenc Dömény, Melánia Puskás, Balázs Gombos, András Füredi, Gergely Szakács, Levente Kovács, Dániel András Drexler   +6 more
openalex   +1 more source

Markov Chain Monte Carlo analysis to probe trilinear $R$-parity violating SUSY scenarios and possible LHC signatures [PDF]

Arghya Choudhury, Sourav Mitra, Arpita Mondal, Subhadeep Mondal   +3 more
openalex   +1 more source

Understanding cooperative membership and maize market participation in Rwanda: A Bayesian triple‐hurdle analysis

Annals of Public and Cooperative Economics, EarlyView.
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, Jules Ngango, Aristide Maniriho, Martinson Ankrah Twumasi   +3 more
wiley   +1 more source

Hierarchical Markov Chain Monte Carlo Framework for Spatiotemporal EV Charging Load Forecasting [PDF]

Xuehan Zheng, Yalun Zhu, Ming Wang, Bo Lv, Yisheng Lv   +4 more
openalex   +1 more source

Computers and chess masters: The role of AI in transforming elite human performance

British Journal of Psychology, EarlyView.
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

Identifying category representations for complex stimuli using discrete Markov chain Monte Carlo with people. [PDF]

Behav Res Methods, 2019
Hsu AS, Martin JB, Sanborn AN, Griffiths TL.   +3 more
europepmc   +1 more source

Exploring the associations of generalized trust, climate change conspiracy beliefs and freecycling: Empirical evidence from 34 cultures

British Journal of Psychology, EarlyView.
Abstract This study examined the relationships between generalized trust, climate change conspiracy beliefs and freecycling – a community‐based free‐item sharing pro‐environmental behaviour. It also explored the role of societal factors in relation to participation in freecycling, as well as how they are associated with these relationships.
Algae K. Y. Au, Jacky C. K. Ng, Sylvia Xiaohua Chen   +2 more
wiley   +1 more source

Joint Estimation of Pedigrees and Effective Population Size Using Markov Chain Monte Carlo. [PDF]

Genetics, 2019
Ko A, Nielsen R.
europepmc   +1 more source

A tutorial on Bayesian model averaging for exponential random graph models

British Journal of Mathematical and Statistical Psychology, EarlyView.
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, Jan‐Willem Simons, Haiyan Liu   +2 more
wiley   +1 more source