Markov Chain Model

The article aims to combine the scientific basis of the Markov–Cellular Automata method and the practice of the Ca River basin to find the influencing factors and model parameters to simulate the change of land cover in the Ca River basin.

20p viyoko 01-10-2024 5 1   Download

The objective of this thesis is to develop an appropriately fitted asset pricing model that explicitly captures this salient feature of equity market returns, and that exploits the potential diversification benefits of emerging markets. we use a state-dependent Markov model, which distinguishes between high and low volatility states, to capture time-varying returns in emerging market equity indices. The model is then extended into global asset allocation.

221p runthenight04 02-02-2023 10 2   Download

Thesis with the aim of focusing on two main issues. The first is time series modeling by states in which each state is a deterministic probability distribution (normal distribution). Based on the experimental results to assess the suitability of the model. Second, combine Markov chains and fuzzy time series into new models to improve forecast accuracy. Expand the model with high-level Markov chains to be compatible with seasonal data.

27p xacxuoc4321 11-07-2019 35 2   Download

This paper proposes a new probabilistic algorithm for solving multi-objective optimization problems - Probability-Driven Search Algorithm. The algorithm uses probabilities to control the process in search of Pareto optimal solutions. Especially, we use the absorbing Markov Chain to argue the convergence of the algorithm. Authors test this approach by implementing the algorithm on some benchmark multi-objective optimization problems, and find very good and stable results.

11p nganga_02 09-09-2015 44 2   Download

The purpose of admission control is to limit the amount of traffic admitted into a particular service class so that the QoS of the existing flows will not be degraded, while at the same time the medium resources can be maximally utilized

33p nhq_khtn 07-11-2013 58 4   Download

The short-chain dehydrogenase⁄reductase (SDR) superfamily now has over 47 000 members, most of which are distantly related, with typically 20– 30% residue identity in pairwise comparisons, making it difficult to obtain an overview of this superfamily.

12p mobifone23 21-01-2013 37 8   Download

Web search engine: Markov chain theory Data Mining, Machine Learning: Data mining, Machine learning: Stochastic gradient, Markov chain Monte Carlo, Image processing: Markov random fields, Design of wireless communication systems: random matrix theory, Optimization of engineering processes: simulated annealing, genetic algorithms, Finance (option pricing, volatility models): Monte Carlo, dynamic models, Design of atomic bomb (Los Alamos): Markov chain Monte Carlo.

16p quangchien2205 30-03-2011 86 7   Download

Probabilistic inference is an attractive approach to uncertain reasoning and empirical learning in artificial intelligence. Computational difficulties arise, however, because probabilistic models with the necessary realism and exibility lead to complex distributions over high-dimensional spaces.

0p minhhuy 14-03-2009 203 37   Download