Markov models

Several studies have proved that Polygenic Risk Score (PRS) is a potential candidate for realizing precision screening. The effectiveness of low-dose computed tomography (LDCT) screening for lung cancer has been proved to reduce lung cancer specific and overall mortality, but the cost-effectiveness of diverse screening strategies remained unclear.

12p vishanshan 27-06-2024 1 1   Download

The partitioned survival model (PSM) and the state transition model (STM) are widely used in costeffectiveness analyses of anticancer drugs. Using different modeling approaches with or without consideration of brain metastasis, we compared the quality-adjusted life-year (QALY) estimates of Osimertinib and pemetrexedplatinum in advanced non-small cell lung cancer with epidermal growth factor receptor mutations.

11p vikoch 27-06-2024 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 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

Ebook "Introduction to computational biology: An evolutionary approach" Analysis of molecular sequence data is the main subject of this introduction to computational biology. There are two closely connected aspects to biological sequences: (i) their relative position in the space of all other sequences, and (ii) their movement through this sequence space in evolutionary time. Accordingly, the first part of the book deals with classical methods of sequence analysis: pairwise alignment, exact string matching, multiple alignment, and hidden Markov models.

329p tracanhphuonghoa1007 22-04-2024 8 2   Download

Nowadays, many applications uses speech recognition especially the field of computer science and electronics, Speech Recognition (SR) is the interpretation of words spoken into a text. It is also known as Speech-To-Text (STT) or Automatic-Speech-Recognition(ASR), or just Word-Recognition(WR). The HiddenMarkov-Model (HMM) is a type of Markov model, which means that the future state of the model depends on the current state, not on the entire history of the system and the goal of HMM is to learn a sequence of hidden states from a set of known states.

5p viritesh 02-04-2024 4 1   Download

Knowing the activity of the mutational processes shaping a cancer genome may provide insight into tumorigenesis and personalized therapy. It is thus important to characterize the signatures of active mutational processes in patients from their patterns of single base substitutions.

12p vibransone 28-03-2024 9 2   Download

As public health interventions drive parasite populations to elimination, genetic epidemiology models that incorporate population genomics can be powerful tools for evaluating the effectiveness of continued intervention.

12p vioraclene 31-03-2024 2 2   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

Ebook Biomolecular simulations in structure-based drug discovery - Part 1 includes content: Predictive power of biomolecular simulations, molecular dynamics–based approaches describing protein binding, markov state models in drug design, understanding the structure and dynamics of peptides and proteins through the lens of network science,… and other contents.

172p longtimenosee03 01-02-2024 1 0   Download

Ebook "Introduction to mathematical methods in bioinformatics" looks at the mathematical foundations of the models currently in use. All existing books on bioinformatics are software-orientated and they concentrate on computer implementations of mathematical models of biology. This book is unique in the sense that it looks at the mathematical foundations of the models, which are crucial for correct interpretation of the outputs of the models.

305p tachieuhoa 28-01-2024 6 2   Download

Ebook "Applied research in uncertainty modeling and analysis" is divided into six main sections. Part I (Chapters 1-4) presents the philosophical and theoretical foundation of uncertainty, new computational directions in neural networks, and some theoretical foundation of fuzzy systems. Part II (Chapters 5-8) reports on biomedical and chemical engineering applications.

547p loivantrinh 29-10-2023 3 2   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

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

This paper proposes a Multilayer Feed forward Neural Network (MLFNN) for speech classification in a smart electric wheelchair, in which with extraction of speech commands is performed using a Mel Frequency Cepstral Coefficients (MMFC) method.

7p vidoctorstrange 06-05-2023 7 4   Download

Undirected graphical models or Markov random fields have been a popular class of models for representing conditional dependence relationships between nodes. In particular, Markov networks help us to understand complex interactions between genes in biological processes of a cell.

10p vinarcissa 21-03-2023 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 8 1   Download