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Bayesian regression
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The evidence about the effects of trace elements on overall survival(OS) of patients with esophageal squamous cell carcinoma(ESCC) is limited. This study aims to evaluate mixed effects of plasma trace elements on OS of ESCC.
11p
vishanshan
27-06-2024
2
1
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The study was conducted to assess the impact of FDI inflows on investment activities of small and medium enterprises (SMEs). Research results show a crowding out effect of FDI inflows, which implies that localities need to focus on the quality of FDI inflows instead of quantity. In addition, the study also considers the impact of internal factors of SMEs, Bayesian regression results show that the size of SMEs, SMEs with e-commerce activities tend to promote investment activities; while the number of years of operation of the business has a negative impact on this activity.
11p
leminhvu111
07-06-2024
0
0
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This study investigates the impact of the shadow economy on sustainable development in 54 countries (categorised as high and low financial development) from 2008 to 2021, using Bayesian regression. Utilizing a sophisticated Bayesian regression analysis, our study unearths a compelling negative relationship between the shadow economy and sustainable development within both of these groups of nations.
20p
viohoyo
25-04-2024
3
1
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This study aims to identify and analyze key factors impacting safety in high-rise construction projects. Utilizing Bayesian Poisson Regression, the research investigates the relationship between various safety-related factors and the occurrence of non-fatal accidents.
14p
viohoyo
25-04-2024
5
3
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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
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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
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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
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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
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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
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Continued part 1, part 2 of ebook "Bayesian and frequentist regression methods" has presents the following content: dependent data; linear models; general regression models; nonparametric modeling; preliminaries for nonparametric regression; spline and kernel methods; nonparametric regression with multiple predictors; appendices and differentiation of matrix expressions; matrix results;...
335p
dieptieuung
20-07-2023
4
3
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The identification of lines resistant to ear diseases is of great importance in maize breeding because such diseases directly interfere with kernel quality and yield. Among these diseases, ear rot disease is widely relevant due to significant decrease in grain yield.
10p
vinarcissa
21-03-2023
1
1
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The objective of this paper was (i) to compare the performance of 10 additive-dominance predictive models (including current models and proposed modifications), fitted using Bayesian, Lasso and Ridge regression approaches; and (ii) to decompose genomic heritability and accuracy in terms of three quantitative genetic information sources, namely, linkage disequilibrium (LD), co-segregation (CS) and pedigree relationships or family structure (PR).
13p
vinarcissa
21-03-2023
4
1
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Pneumoconiosis refers to a class of serious diseases threatening the health of workers exposed to coal or silicosis dust. However, the burden of pneumoconiosis is unavailable in China. Incident cases, deaths, and disability-adjusted life years (DALYs) from pneumoconiosis and its subtypes in China were estimated from the Global Burden of Disease Study 2019 using a Bayesian meta-regression method.
10p
viferrari
28-11-2022
8
2
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Lecture Data mining: Lesson 9. The main topics covered in this chapter include: classification and regression; classification by decision tree induction; bayesian classification; other classification methods; regression;... Please refer to the content of document.
25p
tieuvulinhhoa
22-09-2022
8
3
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Lecture Data mining: Lesson 10. The main topics covered in this chapter include: classification; classification and regression; classification by decision tree induction; bayesian; classification; other classification methods like rule based, K-NN, SVM, bagging/boosting;... Please refer to the content of document.
67p
tieuvulinhhoa
22-09-2022
10
3
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(BQ) Ebook Probability and statistics for engineers and scientists (Ninth edition): Part 2 presents the following content: Simple linear regression and correlation, multiple linear regression and certain nonlinear regression models, one-factor experiments: general, factorial experiments (two or more factors), 2k factorial experiments and fractions, nonparametric statistics, statistical quality control, bayesian statistics, Appendix A: statistical tables and proofs, Appendix B: answers to odd-numbered non-review exercises.
403p
runordie6
10-08-2022
7
4
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This new textbook "Pattern Recognition and Machine Learning" reflects these recent developments while providing a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first year PhD students, as well as researchers and practitioners, and assumes no previous knowledge of pattern recognition or machine learning concepts. Please refer to the content of part 2 of book.
380p
britaikridanik
05-07-2022
24
4
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This study examined body burdens of environmental contaminants and blood pressure measurements (BP) among adolescents. Early onset hypertension among youth has important cardiovascular health implications later in life. Persistent organochlorine pollutants, polybrominated diphenyl ethers (PBDEs), and toxic metals have been associated with adverse cardiovascular outcomes.
12p
thebadguys
15-01-2022
6
0
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Bayesian kernel machine regression (BKMR) analysis was used to evaluate the univariate contaminant exposure effect as well as the contaminant mixture effects on levels of thyroid hormones. Significant and positive associations were found between total T3 and PC-2 (high positive nickel and cadmium loadings), total T3 and PC-3 (negative association with negative loading for nickel and positive loading for cadmium) and TSH and PC-1 (high positive loadings for organic contaminants).
9p
thebadguys
15-01-2022
11
0
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Genomic selection (GS) can increase genetic gain by reducing the length of breeding cycle in forest trees. Here we genotyped 1370 control-pollinated progeny trees from 128 full-sib families in Norway spruce (Picea abies (L.) Karst.), using exome capture as genotyping platform.
16p
viseulgi2711
31-08-2021
13
1
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