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1. Bayesian Compendium. 1st ed. 2020
by Marcel van Oijen
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2020
オンライン: https://doi.org/10.1007/978-3-030-55897-0
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Preface
1 Introduction to Bayesian thinking
2 Introduction to Bayesian science
3 Assigning a prior distribution
4 Assigning a likelihood function
5 Deriving the posterior distribution
6 Sampling from any distribution by MCMC
7 Sampling from the posterior distribution by MCMC
8 Twelve ways to fit a straight line
9 MCMC and complex models
10 Bayesian calibration and MCMC: Frequently asked questions
11 After the calibration: Interpretation, reporting, visualization
2 Model ensembles: BMC and BMA
13 Discrepancy
14 Gaussian Processes and model emulation
15 Graphical Modelling (GM)
16 Bayesian Hierarchical Modelling (BHM)
17 Probabilistic risk analysis and Bayesian decision theory
18 Approximations to Bayes
19 Linear modelling: LM, GLM, GAM and mixed models
20 Machine learning
21 Time series and data assimilation
22 Spatial modelling and scaling error
23 Spatio-temporal modelling and adaptive sampling
24 What next?
Appendix 1: Notation and abbreviations
Appendix 2: Mathematics for modellers
Appendix 3: Probability theory for modellers
Appendix 4: R
Appendix 5: Bayesian software
Preface
1 Introduction to Bayesian thinking
2 Introduction to Bayesian science
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2. Statistics for Data Science and Policy Analysis. 1st ed. 2020
edited by Azizur Rahman
出版情報: Singapore : Springer Singapore : Imprint: Springer, 2020
オンライン: https://doi.org/10.1007/978-981-15-1735-8
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Part I. Applied Statistics and Bayesian Modeling
1. Applied Bayesian Modeling for Assessment of Interpretation Uncertainty in Spatial Domain
2. Computing Robust Statistics via an EM Algorithm
3. Determining Risk Factors of Antenatal Care Attendance and its Frequency in Bangladesh: An Application of Count Regression Analysis
4. On Propensity Score Methodology
5. Asking Good Questions to Understand Voluntary Enrolments in Mathematics
PART II. Agricultural Statistics and Policy Analysis
6. Modeling for Prospect of Aman Rice Production in Dhaka Division, Bangladesh
7. Impacts and Determinants of Adoption in River-based Tilapia Cage Culture
8. Policy into Practice; Statistics the Forgotten Gatekeeper
9. Nutrient Loading in the River Systems around Major Cities in Bangladesh: a Quantitative Estimate with Consequences and Potential Recycling Options
10. Analysing Informal Milk Supply Chains Data to Identify Seasonal Occurrences of Antibiotic Residues
Part III. Data Science and Image Processing Statistics
11. Detection of Vegetation in Enviromental Repeat Photography: A New Algorithmic Approach in Data Science
12. Can Data Fusion increase the Performance of Action Detection in the Dark?
13. Data privacy and Security in the Cloud
14. Evaluating Faster-RCNN and YOLOv3 for Target Detection in Multi-sensor Data
15. Wavelet-based Quantile Density Function Estimation under Random Censorship
Part IV. Health Statistics and Social Policy
16. Factors Associated with Coronary Heart Disease among Elderly People in Different Communities
17. Finite Mixture Modelling Approach to Identify Factors Affecting Children ever Born for 15-49 Year Old Women in Asian Country
18. An Assessment of Influencing Factors for Motherhood During Childhood in Bangladesh Using Factor Analysis and Logistic Regression Methods
19. Effect of Women’s Education on Skilled Birth Attendants in South and South East Asia: A Cross-country assessment on Sustainable Development Goal 3.1
Part V. SMALL Area Estimation and Spatial Microsimulation
20. Estimation of Child Undernutrition at Disaggregated Administrative Tiers of a North-Eastern District of Bangladesh: An Application of Small Area Estimation Method
21. Using a Spatial Farm Microsimulation Model for Australia to Estimate the Impact of an External Shock on Farmer Incomes
Part VI. Business Analytics and Managements Policy Analysis
22. A tax benefit model for policy evaluation in Luxembourg: LuxTaxBen
23. Finding Significant Determinants and Impacts of Farm-Level Integrated Pest Management Practices Using Statistical Tools
24. Consumers Adoption Behavior Prediction through Technology Acceptance Model and Machine Learning Models
25. Shaping the Future of Multidimensional Project Management in Re-Tail Industry Using Statistical and Big-Data Theories
26. Technical Efficiency and Value Chain Analysis of Potato in a South-East Asian Country
27. Modelling and Analysis of Computer Experiments using a Simple Pendulum Model
Part I. Applied Statistics and Bayesian Modeling
1. Applied Bayesian Modeling for Assessment of Interpretation Uncertainty in Spatial Domain
2. Computing Robust Statistics via an EM Algorithm
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3. Statistical Remedies for Medical Researchers. 1st ed. 2020
by Peter F. Thall
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2020
シリーズ名: Springer Series in Pharmaceutical Statistics ;
オンライン: https://doi.org/10.1007/978-3-030-43714-5
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1 Why Bother With Statistics?
2 Frequentists and Bayesians
3 Knocking Down the Straw Man
4 Science and Belief
5 The Perils of P-values
6 Flipping Coins
7 All Mixed Up
8 Sex, Biomarkers, and Paradoxes
9 Crippling New Treatments
10 Just Plain Wrong
11 Getting Personal
12 Multistage Treatment Regimes
References
1 Why Bother With Statistics?
2 Frequentists and Bayesians
3 Knocking Down the Straw Man
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4. Case Studies in Applied Bayesian Data Science : CIRM Jean-Morlet Chair, Fall 2018. 1st ed. 2020
edited by Kerrie L. Mengersen, Pierre Pudlo, Christian P. Robert
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2020
シリーズ名: Lecture Notes in Mathematics ; 2259
オンライン: https://doi.org/10.1007/978-3-030-42553-1
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5. Statistical Analysis of Empirical Data : Methods for Applied Sciences. 1st ed. 2020
by Scott Pardo
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2020
オンライン: https://doi.org/10.1007/978-3-030-43328-4
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Chapter 1: Fundamentals
Chapter 2: Sample Statistics are NOT Parameters
Chapter 3: Confidence
Chapter 4: Multiplicity and Multiple Comparisons
Chapter 5: Power and the Myth of Sample Size Determination
Chapter 6: Regression and Model Fitting with Collinearity
Chapter 7: Overparameterization
Chapter 8: Ignoring Error Control Factors and Experimental Design
Chapter 9: Generalized Linear Models
Chapter 10: Mixed Models and Variance Components
Chapter 11: Models, Models Everywhere...Model Selection
Chapter 12: Bayesian Analyses
Chapter 13: The Acceptance Sampling Game
Chapter 14: Nonparametric Statistics - A Strange Name
Chapter 15: Autocorrelated Data and Dynamic Systems
Chapter 16: Multivariate Analysis and Classification
Chapter 17: Time-to-Event: Survival and Life Testing
Index
Chapter 1: Fundamentals
Chapter 2: Sample Statistics are NOT Parameters
Chapter 3: Confidence
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6. Likelihood and Bayesian Inference : With Applications in Biology and Medicine. 2nd ed. 2020
by Leonhard Held, Daniel Sabanés Bové
出版情報: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2020
シリーズ名: Statistics for Biology and Health ;
オンライン: https://doi.org/10.1007/978-3-662-60792-3
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7. Bayesian Optimization with Application to Computer Experiments. 1st ed. 2021
by Tony Pourmohamad, Herbert K. H. Lee
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2021
シリーズ名: SpringerBriefs in Statistics ;
オンライン: https://doi.org/10.1007/978-3-030-82458-7
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1. Computer experiments
2. Surrogate models
3. Unconstrained optimization
4. Constrained optimization
1. Computer experiments
2. Surrogate models
3. Unconstrained optimization
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8. Advanced Sampling Methods. 1st ed. 2021
by Raosaheb Latpate, Jayant Kshirsagar, Vinod Kumar Gupta, Girish Chandra
出版情報: Singapore : Springer Nature Singapore : Imprint: Springer, 2021
オンライン: https://doi.org/10.1007/978-981-16-0622-9
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-1. Introduction
2. Simple Random Sampling
3. Stratied Random Sampling
4. Cluster Sampling
5. Double Sampling
6. Probability Proportional to Size Sampling
7. Systematic Sampling
8. Resampling Techniques
9. Adaptive Cluster Sampling
10. Two-Stage Adaptive Cluster Sampling
11. Adaptive Cluster Double Sampling
12. Inverse Adaptive Cluster Sampling
13. Two Stage Inverse Adaptive Cluster Sampling
14. Stratified Inverse Adaptive Cluster Sampling
15. Negative Adaptive Cluster Sampling
16. Negative Adaptive Cluster Double Sampling
17. Two- Stage Negative Adaptive Cluster Sampling
18. Balanced and Unbalanced Ranked Set Sampling
19. Ranked Set Sampling in Other Parameter Estimation and Non-Parametric Inference
20. Important Versions of Ranked Set Sampling
21. Sampling Errors
-1. Introduction
2. Simple Random Sampling
3. Stratied Random Sampling
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9. An Introduction to Bayesian Inference, Methods and Computation. 1st ed. 2021
by Nick Heard
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2021
オンライン: https://doi.org/10.1007/978-3-030-82808-0
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Uncertainty and Decisions
Prior and Likelihood Representation
Graphical Modeling
Parametric Models
Computational Inference
Bayesian Software Packages
Model choice
Linear Models
Nonparametric Models
Nonparametric Regression
Clustering and Latent Factor Models
Conjugate Parametric Models
Uncertainty and Decisions
Prior and Likelihood Representation
Graphical Modeling
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10. Advances in Statistics - Theory and Applications : Honoring the Contributions of Barry C. Arnold in Statistical Science. 1st ed. 2021
edited by Indranil Ghosh, N. Balakrishnan, Hon Keung Tony Ng
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2021
シリーズ名: Emerging Topics in Statistics and Biostatistics ;
オンライン: https://doi.org/10.1007/978-3-030-62900-7
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1. Wrapped gamma distribution for modeling and inference with asymmetric circular data - Ashis SenGupta, Carlos A. Coelho, Choung Min Ng
2. Goodness of fit tests for Cauchy distributions using data transformations - Jose A. Villasenor
3. A note on the product of independent beta random variables - Filipe J. Marques, Indranil Ghosh, Johan Ferreira, Andriette Bekker
4. Properties of system lifetime distributions in the classic model of independent exponential component lifetimes - Tomasz Rychlik
5. On the exact statistical distribution of econometric estimators and test statistics - Yong Bao, Xiaotian Liu, Aman Ullah
6. On conditional tail inferences from multivariate distributions - Harry Joe
7. A bivariate distribution with generalized exponential conditionals: Theory and applications - Miroslav Ristic, Bozidar V. Popovic, Indranil Ghosh
8. Assessment of distributional goodness-of-fit for modeling the superposition of renewal process data - Wei Zhang, William Q. Meeker
9. Skew-Elliptical Thomas point processes - Ngoc Anh Dao, Marc G. Genton
10. Bayesian model assessment and selection using Bregman divergence - Gyuhyeong Goh, Dipak K. Dey
11. On hidden truncation in non-normal models - Indranil Ghosh, Hon Keung Tony Ng
1. Wrapped gamma distribution for modeling and inference with asymmetric circular data - Ashis SenGupta, Carlos A. Coelho, Choung Min Ng
2. Goodness of fit tests for Cauchy distributions using data transformations - Jose A. Villasenor
3. A note on the product of independent beta random variables - Filipe J. Marques, Indranil Ghosh, Johan Ferreira, Andriette Bekker