Bayesian modeling

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

Salinity intrusion forecasting is essential and challenging for hydrometeorology, especially in climate change. Employing machine learning (ML) algorithms and conventional forecasting techniques are gaining popularity and providing high performance. This study presents a method to optimize a machine learning model based on the Long Short-Term Memory (LSTM) algorithm for multistep-ahead salinity forecasting (up to 7 days) at Dai Ngai station, Soc Trang province.

11p dianmotminh02 03-05-2024 2 1   Download

This paper examines the role of Exchange Rate Uncertainty (ERU) in driving economic fluctuations in emerging economies using a VAR with stochastic volatility in the mean. We use the quarterly data of three typical emerging economies from 1972Q3 to 2009Q4 within a VAR model.

16p viohoyo 25-04-2024 2 1   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

This study employs the Bayesian Model Averaging (BMA) algorithm to evaluate input variable importance and select the most reliable salinity prediction model. Based on an analysis of observed salinity data and climate data extracted from Landsat 8 OLI in the Google Earth Engine platform, the BMA algorithm identifies the significance of critical variables and optimal salinity prediction models.

15p viohoyo 25-04-2024 3 2   Download

Integrating rare variation from trio family and case–control studies has successfully implicated specific genes contributing to risk of neurodevelopmental disorders (NDDs) including autism spectrum disorders (ASD), intellectual disability (ID), developmental disorders (DDs), and epilepsy (EPI). For schizophrenia (SCZ), however, while sets of genes have been implicated through the study of rare variation, only two risk genes have been identified.

22p vioraclene 31-03-2024 2 2   Download

Copaxone is an efficacious and safe therapy that has demonstrated clinical benefit for over two decades in patients with relapsing forms of multiple sclerosis (MS). On an individual level, patients show variability in their response to Copaxone, with some achieving significantly higher response levels.

15p vioraclene 31-03-2024 6 2   Download

Bài báo nghiên cứu ảnh hưởng của nhiệt độ ( oC), độ ẩm (%) môi trường khác nhau tới độ bền kéo đứt (N) và độ giãn đứt (%) theo hướng dọc và ngang trên vải viscose. Ứng dụng kỹ thuật BMA (Bayesian Model Average) trên phần mềm R để xử lý và phân tích kết quả. Kết quả được xây dựng dựa trên mô hình tuyến tính đa biến với hai biến đầu vào gồm nhiệt độ và độ ẩm.

15p gaupanda019 21-03-2024 6 1   Download

The paper explored factors that affect the behavior of using cashback programs by applying the Bayesian algorithm. The payback model is an international commercial strategy that encourages shopping.

15p vimarillynhewson 02-01-2024 4 1   Download

Lung cancer is currently the most frequent cancer in Jiangsu Province, China, and the features of cancer distribution have changed continuously in the last decade. The aim of this study was to analyse the trend of the incidence of lung cancer in Jiangsu from 2009 to 2018 and predict the incidence from 2019 to 2030.

9p vileonardodavinci 23-12-2023 8 4   Download

Ebook "Computational Intelligence in Control" contains 4 sections, includes: Section I: neural networks design, control and robotics application; section II: hybrid evolutionary systems for modelling, control and robotics applications; section III: fuzzy logic and bayesian systems; section IV: machine learning, evolutionary optimisation and information retrieval.

346p haojiubujain08 01-11-2023 5 2   Download

In this study, an artificial neural network-based Bayesian regularization (ANN) model is proposed to predict the compressive strength of concrete. The database in this study includes 208 experimental results synthesized from laboratory experiments with 9 input variables related to temperature change and design material composition.

13p visharma 20-10-2023 5 4   Download

Ebook "Data mining methods and models" includes content: Dimension reduction methods, regression modeling, multiple regression and model building, logistic regression, naive bayes estimation and bayesian networks, genetic algorithms, case study - modeling response to direct mail marketing,...and other contents.

340p haojiubujain07 20-09-2023 6 3   Download

Bài viết Nghiên cứu định mức chỉ trong may công nghiệp trình bày kết quả nghiên cứu xác định định mức chỉ cho sản phẩm may và đơn hàng trong may công nghiệp dựa trên các mô hình tính lượng chỉ tiêu hao cho đường may thông dụng xây dựng từ dữ liệu thực nghiệm ứng dụng kỹ thuật BMA (Bayesian Model Average).

7p vimulcahy 02-10-2023 12 4   Download

Continued part 1, part 2 of ebook "Statistics and data analysis for financial engineering with R examples" provides readers with contents including: time series models basics; time series models further topics; GARCH models; cointegration; portfolio selection; the capital asset pricing model; factor models and principal components; risk management; bayesian data analysis and MCMC; nonparametric regression and splines;...

407p thamnhuocgiai 24-09-2023 7 4   Download

Continued part 1, part 2 of ebook "Introduction to mathematical statistics (Eighth edition)" provides readers with contents including: chapter 5 - consistency and limiting distributions; chapter 6 - maximum likelihood methods; chapter 7 - sufficiency; chapter 8 - optimal tests of hypotheses; chapter 9 - inferences about normal linear models; chapter 10 - nonparametric and robust statistics; chapter 11 - bayesian statistics;...

426p hanlinhchi 29-08-2023 6 3   Download

Part 1 of ebook "Bayesian methods for structural dynamics and civil engineering" provides readers with contents including: thomas bayes and bayesian methods in engineering; basic concepts and bayesian probabilistic framework; bayesian spectral density approach; optimal sensor placement; bayesian model updating with input–output measurements;...

178p hanlinhchi 28-08-2023 4 3   Download

Continued part 1, part 2 of ebook "Bayesian methods for structural dynamics and civil engineering" provides readers with contents including: bayesian time-domain approach; model updating using eigenvalue–eigenvector measurements; bayesian model class selection; relationship between the hessian and covariance matrix for gaussian random variables; model class selection for regression problems;...

134p hanlinhchi 28-08-2023 9 3   Download

Part 1 book "Reliability and risks - A bayesian perspective" includes content: Uction and overview; the quantification of uncertainty, exchangeability and indifference, stochastic models of failure, parametric failure data analysis.

205p oursky01 24-07-2023 6 4   Download

Part 1 of ebook "Bayesian and frequentist regression methods" has presents the following content: introduction and motivating examples; inferential approaches; frequentist inference; bayesian inference; hypothesis testing and variable selection; independent data; linear models; general regression models; binary data models;...

365p dieptieuung 20-07-2023 5 2   Download