منابع مشابه
A Stochastic Approximation Method
Your use of the JSTOR archive indicates your acceptance of JSTOR's Terms and Conditions of Use, available at http://www.jstor.org/about/terms.html. JSTOR's Terms and Conditions of Use provides, in part, that unless you have obtained prior permission, you may not download an entire issue of a journal or multiple copies of articles, and you may use content in the JSTOR archive only for your perso...
متن کاملA Bayesian Approximation Method for Online Ranking
This paper describes a Bayesian approximation method to obtain online ranking algorithms for games with multiple teams and multiple players. Recently for Internet games large online ranking systems are much needed. We consider game models in which a k-team game is treated as several two-team games. By approximating the expectation of teams’ (or players’) performances, we derive simple analytic ...
متن کاملApproximation enhancement for stochastic Bayesian inference
Highlights • Orders-of-magnitude improvement in approximate Bayesian inference efficiency • Bitstream autocorrelation limits inference approximation accuracy • Autocorrelation successfully mitigated to improve Bayesian inference approximation • Approximate Bayesian inference efficiently performed in hardware 2 Abstract Advancements in autonomous robotic systems have been impeded by the lack of ...
متن کاملA Stochastic Approximation Method for Reachability Computations
We develop a grid-based method for estimating the probability that the trajectories of a given stochastic system will eventually enter a certain target set during a –possibly infinite– look-ahead time horizon. The distinguishing feature of the proposed methodology is that it rests on the approximation of the solution to stochastic differential equations by using Markov chains. From an algorithm...
متن کاملBayesian inference for stochastic kinetic models using a diffusion approximation.
This article is concerned with the Bayesian estimation of stochastic rate constants in the context of dynamic models of intracellular processes. The underlying discrete stochastic kinetic model is replaced by a diffusion approximation (or stochastic differential equation approach) where a white noise term models stochastic behavior and the model is identified using equispaced time course data. ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Statistical Planning and Inference
سال: 2021
ISSN: 0378-3758
DOI: 10.1016/j.jspi.2020.07.006