Markov chains

Part 2 of ebook "Statistics and analysis of scientific data (Second edition)" provides readers with contents including: Chapter 8 - Maximum likelihood methods for two-variable datasets; Chapter 9 - Multi-variable regression; Chapter 10 - Goodness of fit and parameter uncertainty; Chapter 11 - Systematic errors and intrinsic scatter; Chapter 12 - Fitting two-variable datasets with bivariate errors; Chapter 13 - Model comparison; Chapter 14 - Monte Carlo methods; Chapter 15 - Introduction to Markov Chains; Chapter 16 - Monte Carlo Markov Chains;...

165p daonhiennhien 03-07-2024 1 1   Download

This book provides a clear exposition of the underlying concepts with many worked examples and problem sets. It also discusses implementation, including an introduction to Markov chain Monte-Carlo integration and linear and nonlinear model fitting. Particularly extensive coverage of spectral analysis (detecting and measuring periodic signals) includes a self-contained introduction to Fourier and discrete Fourier methods.

489p vimeyers 29-05-2024 2 2   Download

Probability and Computer science - Lecture 1: Introduction to probability. This lecture provides students with content including: mathematical tools to deal with uncertain events; applications include; combinatorial analysis; counting; axioms of probability; conditional probability and inference;... Please refer to the detailed content of the lecture!

16p codabach1016 03-05-2024 2 0   Download

Probability and Computer science - Lecture 9: Markov models. This lecture provides students with content including: Markov models; Markov chain; transition probabilities; solving for total reward; solving the academic life; working backwards; ruin chain; gambling time chain;... Please refer to the detailed content of the lecture!

43p codabach1016 03-05-2024 3 0   Download

In this paper, the research done is about the risk distribution model estimation on health insurance claims using Bayesian. The objective is to derive a health insurance risk model and determine the amount of net premium for each insured age group in health insurance. The sample of this study is the participant of health insurance in the Bandung area, Indonesia, especially for the insured who live in flood-prone areas.

10p longtimenosee10 26-04-2024 3 1   Download

The challenge of trying to meet with the customers’ needs in terms of quality and quantity within best price practices (marginal profit) remains a vital part of decision making in all producing firms (manufacturing, service rendering companies, etc.). This research is born out of a concern for such challenges.

9p longtimenosee04 06-03-2024 7 1   Download

Ebook "Classical and spatial stochastic processes: With applications to biology (Second edition)" presents the concepts and applications of random processes with the same illuminating simplicity as its first edition, but with the notable addition of substantial modern material on biological modeling. While still treating many important problems in fields such as engineering and mathematical physics, the book also focuses on the highly relevant topics of cancerous mutations, influenza evolution, drug resistance, and immune response.

271p manmanthanhla0201 26-02-2024 4 1   Download

Continued part 1, part 2 of ebook "Probability theory" provides readers with contents including: properties of the trajectories of random walks zero-one laws; random walks and factorisation identities; sequences of dependent trials markov chains; information and entropy; stationary sequences; stochastic recursive sequences; continuous time random processes; processes with independent increments; functional limit theorems;...

409p hanlinhchi 29-08-2023 6 3   Download

Ebook "Introduction to graph theory (Fourth edition)" provides a basic foundation on trees, algorithms, Eulerian and Hamilton graphs, planar graphs and coloring, with special reference to four color theorem. Discusses directed graphs and transversal theory and related these areas to Markov chains and network flows.

180p tichhythan 17-08-2023 8 3   Download

Continued part 1, part 2 of ebook "Advances in quantitative analysis of finance and accounting (Volume 6)" has presents the following content: intraday volume — volatility relation of the DOW - a behavioral interpretation; the pricing of initial public offerings - an option approach; determinants of winner–loser effects in national stock markets; earnings management in corporate voting - evidence from antitakeover charter amendments; deterministic portfolio selection models, selection bias, and an unlikely hero;...

137p dieptieuung 20-07-2023 8 2   Download

Continued part 1, part 2 of ebook "Basic concepts in computational physics (Second edition)" has presents the following content: stochastic methods; pseudo-random number generators; random sampling methods; a brief introduction to monte-carlo methods; the ising model; some basics of stochastic processes; the random walk and diffusion theory; markov-chain monte carlo and the potts model; data analysis; stochastic optimization; the two-body problem;...

221p dieptieuung 20-07-2023 9 3   Download

Ebook Introduction to operations research (Ninth edition): Part 2 includes the following content: Chapter 12 nonlinear programming, chapter 13 metaheuristics, chapter 14 game theory, chapter 15 decision analysis, chapter 16 markov chains, chapter 17 queueing theory, chapter 18 inventory theory, chapter 19 markov decision processes, chapter 20 simulation.

513p haojiubujain01 24-06-2023 10 4   Download

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 viironman 02-06-2023 4 3   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 8 1   Download

Bài viết Ứng dụng thuật toán Metropolis – Hasting của phương pháp xích Markov Monte Carlo trong phân tích độ tin cậy trình bày ứng dụng của Markov Chain phương pháp Monte Carlo (MCMC) dựa trên thuật toán Metropolis-Hastings để phân tích độ tin cậy của kết cấu với các tham số không chắc chắn.

5p vijaguar 16-11-2022 27 1   Download

Bài viết Xây dựng bản đồ mưa ngày lớn nhất cho khu vực miền Trung và Tây Nguyên nghiên cứu sử dụng phần mềm ArcGis để xây dựng bản đồ mưa cực hạn dựa trên số liệu của hai phương pháp phân tích tần suất: Phương pháp vùng và phương pháp địa phương.

5p vispyker 16-11-2022 10 1   Download

Information retrieval techniques: Lecture 37. The main topics covered in this chapter include: markov chains; ergodic markov chains; markov chain with teleporting; query processing; personalized pagerank;... Please refer to the content of document.

14p tieuvulinhhoa 22-09-2022 24 4   Download

Bài viết "Sử dụng phương pháp Markov Chain Monte Carlo ước lượng hàm mũ ma trận" trình bày về phương pháp ước lượng hàm phụ thuộc vào một hoặc nhiều phân phối mũ ma trận. Phương pháp được chúng tôi đề nghị sử dụng là Markov chain Monte Carlo nhằm xây dựng quá trình Markov dưới biến mũ ma trận kết hợp với mẫu Gibbs để thu được một dãy độ đo xác suất mũ ma trận dừng từ phân phối hậu nghiệm của quan trắc đã cho.

9p runordie2 06-06-2022 26 1   Download

Chapter 14b: Inference in Bayesian networks. The main contents of this chapter include all of the following: Exact inference by enumeration, exact inference by variable elimination, approximate inference by stochastic simulation, approximate inference by Markov chain Monte Carlo.

7p cucngoainhan0 10-05-2022 10 2   Download

Lecture Artificial Intelligence - Chapter 14b: Inference in Bayesian networks. The main contents of this chapter include all of the following: Exact inference by enumeration, exact inference by variable elimination, approximate inference by stochastic simulation, approximate inference by Markov chain Monte Carlo.

38p cucngoainhan0 10-05-2022 9 2   Download