Results 91 to 100 of about 146,110 (315)

Markov Chain Monte Carlo Technology [PDF]

open access: yes
In the past fifteen years computational statistics has been enriched by a powerful, somewhat abstract method of generating variates from a target probability distribution that is based on Markov chains whose stationary distribution is the probability ...
Chib, Siddhartha
core  

Markov chains conditioned never to wait too long at the origin [PDF]

open access: yes, 2009
Motivated by Feller's coin-tossing problem, we consider the problem of conditioning an irreducible Markov chain never to wait too long at 0. Denoting by τ the first time that the chain, X, waits for at least one unit of time at the origin, we consider ...
Jacka, Saul D.
core   +1 more source

Fuzzy time series markov chain and discrete-time markov chain analysis of export gonggong in Batam

open access: yesDesimal
Gonggong snails are an important fisheries commodity that has high economic value. However, freight on board export Gonggong has a bigger probability to decrease (below the half-term weighted average).
Andini Setyo Anggraeni   +4 more
doaj   +1 more source

Markov Chain Models for Stock Prices Forecasts and Analysis [PDF]

open access: yesITM Web of Conferences
Under the condition of complexity and volatility of financial markets, stock price prediction remains a challenging research topic. Markov chain models, with their “memoryless” nature, provide a probabilistic framework for analyzing stock price dynamics.
Jia Henghua
doaj   +1 more source

Distributed Markov Chains

open access: yesCoRR, 2014
The formal verification of large probabilistic models is important and challenging. Exploiting the concurrency that is often present is one way to address this problem. Here we study a restricted class of asynchronous distributed probabilistic systems in which the synchronizations determine the probability distribution for the next moves of the ...
Sumit Kumar Jha 0001   +3 more
openaire   +2 more sources

Value of Information of Improved Traceability in Fresh Produce Markets

open access: yesAgribusiness, EarlyView.
ABSTRACT Traceability plays an important role in promoting a safe food supply by fostering transparent information exchange along the food supply chain. New technological innovations have the potential to improve traceability outcomes, as greater transparency along the food supply chain can aid in pinpointing precise origins of the contamination ...
Kelsey Vourazeris   +2 more
wiley   +1 more source

Handling Target Obscuration through Markov Chain Observations. [PDF]

open access: yes, 2008
Target Obscuration, including foliage or building obscuration of ground targets and landscape or horizon obscuration of airborne targets, plagues many real world filtering problems.
Wu, Biao, Kouritzin, Michael
core   +1 more source

Quantized Markov Chain Couplings that Prepare Qsamples [PDF]

open access: yesQuantum
We present a novel approach to quantizing Markov chains. The approach is based on the Markov chain coupling method, which is frequently used to prove fast mixing. Given a particular coupling, e.g., a grand coupling, we construct a completely positive and
Kristan Temme, Pawel Wocjan
doaj   +1 more source

Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches

open access: yesAdvanced Intelligent Discovery, EarlyView.
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin   +4 more
wiley   +1 more source

Probability Interval Prediction of Wind Power Based on KDE Method With Rough Sets and Weighted Markov Chain

open access: yesIEEE Access, 2018
Research on the uncertainty of wind power has a significant influence on power system planning and decision-making. This paper proposes a novel method for wind power interval forecasting based on rough sets theory, weighted Markov chain, and kernel ...
Xiyun Yang   +3 more
doaj   +1 more source

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