Results 91 to 100 of about 1,853,662 (312)

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

Accelerating Materials Discovery: A Review of Machine Learning in X‐Ray Absorption Spectroscopy

open access: yesAdvanced Intelligent Systems, EarlyView.
This review systematically details how machine learning transforms X‐ray absorption spectroscopy (XAS) analysis. It covers advanced deep learning architectures for structure‐spectra mapping and inverse tasks, while discussing key challenges like the simulation‐to‐reality gap.
Melaku Lake Tegegne   +5 more
wiley   +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

Multi‐Stage Social Value Orientation‐Based Lane‐Changing Driving for Autonomous Vehicles

open access: yesAdvanced Intelligent Systems, EarlyView.
A multi‐stage SVO framework is developed to dynamically infer the social preferences of surrounding vehicles from human driving data. By combining offline learning, online SVO estimation, temporal intention tracking, and interaction‐aware planning, the framework enables autonomous vehicles to adapt lane‐changing decisions and trajectories to evolving ...
Nongrui Qin   +4 more
wiley   +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

On markov chains and intuitionism

open access: yesIndagationes Mathematicae (Proceedings), 1961
The paper contains an intuitionistic treatment of the theory of Markov chains with an enumerable state space. The theory is developed along the same lines as in the book of \textit{K. L. Chung} ``Markov chains with stationary transition probabilities''. Berlin etc.: Springer-Verlag (1960; Zbl 0092.34304).
openaire   +2 more sources

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  

Linking community structure and climate vulnerability in desert plant assemblages of southern California

open access: yesAmerican Journal of Botany, EarlyView.
Abstract Premise Desert plant assemblages in southern California provide an opportunity to link patterns of community structure with climate‐driven vulnerability in a rapidly changing environment. California sustains an exceptionally diverse flora of approximately 4300 plant species, with 31% identified as endemic.
Hector Zumbado‐Ulate   +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

Quasi-exact Approximation of Hidden Markov Chain Filters [PDF]

open access: yes
This paper studies the application of exact simulation methods for multi-dimensional multiplicative noise stochastic differential equations to filtering.
Eckhard Platen, Renata Rendek
core  

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