Joseph Hilbe, Jet Propulsion Laboratory and Arizona State University, Astrostatistics: A brief history and view to the future
Thomas Loredo, Cornell Univ, Bayesian astrostatistics: A backward look to the future
Stefano Andreon, INAF-Osservatorio Astronomico di Brera, Italy, Understanding better (some) astronomical data using Bayesian methods
Martin Kunz, Institute for Theoretical Physics, Univ of Geneva, BEAMS: separating the wheat from the chaff in supernova analysis
Benjamin Wandelt, Institut d'Astrophysique de Paris, Université Pierre et Marie Curie, France, Cosmostatistics
Roberto Trotta, Astrophysics Group, Dept of Physics, Imperial College London (with Farhan Feroz (Cambridge), Mike Hobson (Cambridge), and Roberto Ruiz de Austri (Univ of Valencia, Spain), Recent advances in Bayesian inference in cosmology and astroparticle physics thanks to the Multinest Algorithm
Phillip Gregory, Department of Astronomy, Univ of British Columbia, Canada, Extrasolar planets via Bayesian model fitting
Marc Henrion, Dept of Mathematics, Imperial College, London, UK (with Daniel Mortlock (Imperial), Axel Gandy (Imperial), and David J. Hand (Imperial)), Subspace methods for anomaly detection in high dimensional astronomical databases
Asis Kumar Chattopadhyay, Dept of Statistics, Univ of Calcutta, India (with Tanuka Chattyopadhyay, Tuli De, and Saptarshi Mondal), Independent Component Analysis for dimension reduction classification: Hough transform and CASH Algorithm
Marisa March, Astrophysics Group, Dept of Physics, Imperial College London (with Roberto Trotta), Improved cosmological constraints from a Bayesian hierarchical model of supernova type Ia data
Joseph Hilbe, Jet Propulsion Laboratory and Arizona State University, Astrostatistics: A brief history and view to the future
Thomas Loredo, Cornell Univ, Bayesian astrostatistics: A backward look to the future
Stefano Andreon, INAF-Osservatorio Astronomico di Brera, Italy, Understanding better (some) astronomical data using Bayesian methods
Roles of Modeling in Statistical Inference.- Likelihood Construction and Estimation.- Likelihood-Based Tests and Confidence Regions.- Bayesian Inference.- Large Sample Theory: The Basics.- Large Sample Results for Likelihood-Based Methods.- M-Estimation (Estimating Equations).- Hypothesis Tests under Misspecification and Relaxed Assumptions .- Monte Carlo Simulation Studies .- Jackknife.- Bootstrap.- Permutation and Rank Tests.- Appendix: Derivative Notation and Formulas.- References.- Author Index.- Example Index
R-code Index
Subject Index.
Roles of Modeling in Statistical Inference.- Likelihood Construction and Estimation.- Likelihood-Based Tests and Confidence Regions.- Bayesian Inference.- Large Sample Theory: The Basics.- Large Sample Results for Likelihood-Based Methods.- M-Estimation (Estimating Equations).- Hypothesis Tests under Misspecification and Relaxed Assumptions .- Monte Carlo Simulation Studies .- Jackknife.- Bootstrap.- Permutation and Rank Tests.- Appendix: Derivative Notation and Formulas.- References.- Author Index.- Example Index
Part I Univariate and Multivariate Robust Methods: Multivariate Median (Hannu Oja)
Depth Statistics (Karl Mosler)
Multivariate Extremes: A Conditional Quantile Approach (Marie-Françoise Barme-Delcroix)
High-Breakdown Estimators of Multivariate Location and Scatter (Peter Rousseeuw and Mia Hubert)
Upper and Lower Bounds for Breakdown Points (Christine H. Müller)
The Concept of α-outliers in Structured Data Situations (Sonja Kuhnt and André Rehage)
Multivariate OutlierIidentification Based on Robust Estimators of Location and Scatter (Claudia Becker, Steffen Liebscher and Thomas Kirschstein)
Robustness for Compositional Data (Peter Filzmoser and Karel Hron)
Part II Regression and Time Series Analysis: Least Squares Estimation in High Dimensional Sparse Heteroscedastic Models (Holger Dette and Jens Wagener)
Bayesian Smoothing, Shrinkage and Variable Selection in Hazard Regression (Susanne Konrath, Ludwig Fahrmeir and Thomas Kneib)
Robust Change Point Analysis (Marie Hušková)
Robust Signal Extraction From Time Series in Real Time (Matthias Borowski, Roland Fried and Michael Imhoff)
Robustness in Time Series: Robust Frequency Domain Analysis (Bernhard Spangl and Rudolf Dutter)
Robustness in Statistical Forecasting (Yuriy Kharin)
Finding Outliers in Linear and Nonlinear Time Series (Pedro Galeano and Daniel Peña)
Part III Complex Data Structures: Qualitative Robustness of Bootstrap Approximations for Kernel Based Methods (Andreas Christmann, Matías Salibián-Barrera and Stefan Van Aels)
Some Machine Learning Approaches to the Analysis of Temporal Data (Katharina Morik)
Correlation, Tail Dependence and Diversification (Dietmar Pfeifer)
Evidence for Alternative Hypotheses (Stephan Morgenthaler and Robert G. Staudte)
Concepts and a Case Study for a Flexible Class of Graphical Markov Models (NannyWermuth and David R. Cox)
Data Mining in Pharmacoepidemiological Databases (Marc Suling, Robert Weber and Iris Pigeot)
Meta-Analysis of Trials with Binary Outcomes (JürgenWellmann)
Part I Univariate and Multivariate Robust Methods: Multivariate Median (Hannu Oja)
Depth Statistics (Karl Mosler)
Multivariate Extremes: A Conditional Quantile Approach (Marie-Françoise Barme-Delcroix)
István Berkes and Robert Tichy: Lacunary Series and Stable Distributions
Gérard Biau and David M. Mason: High-Dimensional p-Norms
Denis Bosq: Estimating and Detecting Jumps – Applications to D[0,1]-valued Linear Processes
Maëva Biret, Michel Broniatowski and Zansheng Cao: A Sharp Abelian Theorem for the Laplace Transform
Endre Csáki and Miklós Csörgő: On Bahadur-Kiefer Type Processes for Sums and Renewals in Dependent Cases
El hadji Deme, Stéphane Girard, and Armelle Guillou: Reduced-bias Estimator of the Conditional Tail Expectation of Heavy-tailed Distributions
Erich Haeusler and Stefan Horni: On Sequential Empirical Distribution Functions for Random Variables with Mean Zero
Marc Hallin, Ramon van den Akker, and Bas J.M. Werker: On Quadratic Expansions of Log-Likelihoods and a General Asymptotic Linearity Result
Michel Harel, Jean-François Lenain and Joseph Ngatchou-Wandji: Asymptotic Normality of Binned Kernel Density Estimators for Non-Stationary Dependent Random Variables
Enkelejd Hashorva, Mikhail Lifshits, Oleg Seleznjev: Approximation of a Random Process with Variable Smoothness
Gennady Martynov: A Cramér-von Mises Test for Gaussian Processes
Ya. Yu. Nikitin and M. Ahsanullah: New U-empirical Tests of Symmetry Based on Extremal Order Statistics, and Their Efficiencies
Davy Paindaveine and Thomas Verdebout: Optimal Rank-Based Tests for the Location Parameter of a Rotationally Symmetric Distribution on the Hypersphere
Dominic Lauterbach and Dietmar Pfeifer: Some Extensions of Singular Mixture Copulas
Adrian E. Raftery: Paul Deheuvels – Mentor, Advocate for Statistics, and Applied Statistician
Paul Doukhan, Oleg I. Klesov, and Josef G. Steinebach: Strong Laws of Large Numbers in an Fα-scheme
Ju-Yi Yen and Marc Yor: On Two Results of P. Deheuvels
Ju-Yi Yen and Marc Yor: Some Topics in Probability Theory
István Berkes and Robert Tichy: Lacunary Series and Stable Distributions
Gérard Biau and David M. Mason: High-Dimensional p-Norms
Denis Bosq: Estimating and Detecting Jumps – Applications to D[0,1]-valued Linear Processes
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
Comparison of proposals of transformation of nominants into stimulants on the example of financial ratios of companies listed on the Warsaw Stock Exchange
Silhouette index as clustering evaluation tool
The Role of Discretization of Continuous Variables in SocioEconomic Classification Models on the Example of Logistic Regression Models and Artificial Neural Networks
Intuitionistic fuzzy synthetic measure for ordinal data
Improving Classification Accuracy of Ensemble Learning for Symbolic Data Trough Neural Networks’ Feature Extraction
Applications in Finance
Inequality restricted least squares (IRLS) model of real estate prices
Application of Hill estimator to assess extreme risks in the metals market
Segmentation of Enterprises on the Basis of Their Duration Using Survival Trees. Results of an Analysis for Legal Persons and Organizational Entities without Legal Personality in the Łódzkie Voivodship
Corporate Bankruptcy Prediction with the Use of the Logit Leaf Model
The impact of longevity on a valuation of long-term investments returns: the case of selected European countries
Applications in Economics.-Sustainable Development and Green Economy in the European Union Countries – statistical analysis
The review of indicators of data quality in intra-Community trade in goods. The choice of an indicator and its effect on the ranking of countries
Development of ICT in Poland in Comparison with the European Union Countries – Multivariate Statistical Analysis
Sensitivity Analysis in Causal Mediation Effects for TAM Model
Applications in Social Problems
Prentice-Williams-Peterson models in the assessment of the influence of the characteristics of the unemployed on the intensity of subsequent registrations in the labour office
Right-skewed distribution of features and the identification problem of the financial autonomy of local administrative units
Multi-Criteria Rankings with Interdependent Criteria: Case of EU Countries on Their Way to Healthy Lives and Well-Being
The comparison of income distributions for women and men in the European Union countries
Common stochastic mortality trends for multiple European populations
Impact of the selected factors on the men and women wages in Poland in 2014. The conjoint analysis application
Preface
Methods
Comparison of proposals of transformation of nominants into stimulants on the example of financial ratios of companies listed on the Warsaw Stock Exchange
Portfolio optimisation via graphical least squares estimation (Saeed Aldahmani, Hongsheng Dai, Qiao-Zhen Zhang and Marialuisa Restaino)
Change of Measure Applications in Nonparametric Statistics (Mayer Alvo)
Choosing between weekly and monthly volatility drivers within a Double Asymmetric GARCH-MIDAS model (Alessandra Amendola, Vincenzo Candila and Giampiero M. Gallo)
Goodness-of-fit test for the baseline hazard rate (Anfriani, A. and Butucea, C. and Gerardin E. and Jeantheau, T. and Lecleire U.)
Permutation tests for multivariate stratified data: synchronized or unsynchronized permutations? (Rosa Arboretti, Eleonora Carrozzo and Luigi Salmaso)
An extension of the dgLARS method to high-dimensional relative risk regression models (Luigi Augugliaro, Ernst C. Wit and Angelo M. Mineo)
A kernel goodness-of-fit test for maximum likelihood density estimates of normal mixtures. (Dimitrios Bagkavos and Prakash N. Patil)- Robust estimation of sparse signal with unknown sparsity cluster value (Eduard Belitser, Nurzhan Nurushev, and Paulo Serra)
Test for sign effect in intertemporal choice experiments: a nonparametric solution (Stefano Bonnini and Isabel Maria Parra Oller)
Nonparametric first-order analysis of spatial and spatio-temporal point processes (M.I. Borrajo, I. Fuentes-Santos and W. González-Manteiga)
Bayesian nonparametric prediction with multi-sample data (Federico Camerlenghi, Antonio Lijoi and Igor Prünster)
Algorithm for Automatic Description of Historical Series of Forecast Error in Electrical Power Grid (Gaia Ceresa, Andrea Pitto, Diego Cirio and Nicolas Omont)
Linear wavelet estimation in regression with additive and multiplicative noise (Christophe Chesneau, Junke Kou and Fabien Navarro)
Speeding up algebraic-based sampling via permutations (Francesca Romana Crucinio and Roberto Fontana)
Obstacle Problems For Nonlocal Operators: A Brief Overview (Donatella Danielli, Arshak Petrosyan, and Camelia A. Pop)
Low and high resonance components restoration in multichannel data (Daniela De Canditiis and Italia De Feis)
Kernel circular deconvolution density estimation (Marco Di Marzio, Stefania Fensore, Agnese Panzera, Charles C. Taylor)
Asymptotic for Relative Frequency when Population is Driven by Arbitrary Unknown Evolution (Silvano Fiorin)
Semantic keywords clustering to optimize Text Ads campaigns (Pietro Fodra, Emmanuel Pasquet, Guillaume Mohr, Bruno Goutorbe, and Matthieu Cornec)
A Note on Robust Estimation of the Extremal Index (M. Ivette Gomes, Cristina Miranda and Manuela Souto de Miranda)
Multivariate permutation tests for ordered categorical data (Huiting Huang, Fortunato Pesarin, Rosa Arboretti, Riccardo Ceccato)
Smooth nonparametric survival analysis (Dimitrios Ioannides and Dimitrios Bagkavos)
Density estimation using multiscale local polynomial transforms (Maarten Jansen)
On Sensitivity of Metalearning: An Illustrative Study for Robust Regression (Jan Kalina)
Function-parametric empirical processes, projections and unitary operators (Estáte Khmaladze)
Rank-based Analysis of Multivariate Data in Factorial Designs and Its Implementation in R (Maximilian Kiefel and Arne C. Bathke)
Tests for Independence Involving Spherical Data (Pierre Lafaye de Micheaux, Simos Meintanis and Thomas Verdebout)
Interval-Wise Testing of Functional Data Defined on Two-dimensional Domains(Patrick B. Langthaler, Alessia Pini and Arne C. Bathke)
Assessing Data Support for the Simplifying Assumption in Bivariate Conditional Copulas (Evgeny Levi and Radu V. Craiu)
Semiparametric weighting estimations of a zero-inflated Poisson regression with missing in covariates (Lukusa, M.T. and Phoa, F.K.H.)
The Discrepancy Method for Extremal Index Estimation (Natalia Markovich)
Correction for optimisation bias in structured sparse high-dimensional variable selection (Bastien Marquis and Maarten Jansen)
United Statistical Algorithms and Data Science: An Introduction To The Principles (Subhadeep Mukhopadhyay)
The Halfspace Depth Characterization Problem (Stanislav Nagy)
A component multiplicative error model for realized volatility measures (Antonio Naimoli and Giuseppe Storti)
Asymptotically distribution-free goodness-of-fit tests for testing independence in contingency tables of large dimensions (Thuong T. M. Nguyen)
Incorporating model uncertainty in the construction of bootstrap prediction intervals for functional time series (Efstathios Paparoditis and Han Lin Shang)
Measuring and Estimating Overlap of Distributions: A comparison of approaches from various disciplines (Judith H. Parkinson and Arne C. Bathke)
Bootstrap confidence intervals for sequences of missing values in multivariate time series (Maria Lucia Parrella, Giuseppina Albano, Michele La Rocca and Cira Perna)
On Parametric Estimation of Distribution Tails (Igor Rodionov)
An empirical comparison of global and local functional depths (Carlo Sguera and Rosa E. Lillo)
AutoSpec: Detecting Exiguous Frequency Changes in Time Series (David S. Stoffer)
Bayesian quantile regression in differential equation models (Qianwen Tan and Subhashis Ghosal)
Predicting plant endemicity based on herbarium data: application to French data (Jessica Tressou, Thomas Haevermans and Liliane Bel)
Monte Carlo Permutation Tests for Assessing Spatial Dependence at Different Scales (Craig Wang and Reinhard Furrer)
Introduction to independent counterfactuals (Marcin Wolski)
The Potential for Nonparametric Joint Latent Class Modeling of Longitudinal and Time-to-Event Data (Ningshan Zhang and Jeffrey S. Simonoff)
To Rank or to Permute when Comparing an Ordinal Outcome Between Two Groups While Adjusting for a Covariate? (Georg Zimmermann)
Preface
Portfolio optimisation via graphical least squares estimation (Saeed Aldahmani, Hongsheng Dai, Qiao-Zhen Zhang and Marialuisa Restaino)
Change of Measure Applications in Nonparametric Statistics (Mayer Alvo)