Advances in Contemporary Statistics and Econometrics: Festschrift in Honor of Christine Thomas-Agnan
Hardcover
Business GeneralEconomicsProbability & Statistics
ISBN13: 9783030732486
Publisher: Springer Nature
Published: Jun 15 2021
Pages: 710
Weight: 2.64
Height: 1.56 Width: 6.14 Depth: 9.21
Language: English
Part I Nonparametric Statistics and Econometrics. - Profile least squares estimators in the monotone single index model, (Fadoua Balabdaoui and Piet Groeneboom). - Optimization by Gradient Boosting, (Gérard Biau and Benoît Cadre). - Nonparametric model-based estimators for the cumulative distribution function of a right censored variable in a small area, (Sandrine Casanova and Eve Leconte). - Relaxing monotonicity in endogenous selection models and application to surveys, (Gautier Eric). - B-spline estimation in a survey sampling framework, (Camelia Goga). - Computational outlier detection methods in sliced inverse regression, (Hadrien Lorenzo and Jérôme Saracco). - Uncoupled isotonic regression with discrete errors, (Jan Meis and Enno Mammen). - Part II Spatial Statistics and Econometrics. - Partially linear expectile regression using local polynomial fitting (Cécile Adam and Irène Gijbels). - Piecewise linear continuous estimators of the quantile function (Delphine Blanke, Denis Bosq). - Single-index quantile regression models for censored data (Axel Bücher, Anouar El Ghouch and Ingrid Van Keilegom). - Extreme Lp quantile kernel regression (Stéphane Girard, Gilles Stupfler and Antoine Usseglio-Carleve). - Robust efficiency analysis of public hospitals in Queensland, Australia (Bao Hoang Nguyen and Valentin Zelenyuk). - On the behavior of extreme 3-dimensional spatial quantiles under minimal assumptions (Davy Paindaveine and Joni Virta). - Modelling flow in gas transmission networks using shape-constrained expectile regression (Fabian Otto-Sobotka, Radoslava Mirkov, Benjamin Hofner and Thomas Kneib). - Part III Compositional Data Analysis and Applications. - Asymptotic analysis of maximum likelihood estimation of covariance parameters for Gaussian processes: an introduction with proofs (François Bachoc). - Global scan methods for comparing two spatial point processes (Florent Bonneu and Lionel Cucala). - Assessing spillover effects of spatial policies with semiparametric zero-inflated models and random forests (Hervé Cardot and Antonio Musolesi). - Spatial autocorrelation in econometric land use models: an overview (Raja Chakir and Julie Le Gallo). - Modeling dependence in spatio-temporal econometrics (Noel Cressie and Christopher K. Wikle). - Guidelines on areal interpolation methods (Van Huyen Do, Thibault Laurent and Anne Vanhems). - Predictions in spatial econometric models: Application to unemployment data (Thibault Laurent and Paula Margaretic). - Lagrangian spatio-temporal nonstationary covariance functions (Mary Lai O. Salvaña and Marc G. Genton). - Part IV Compositional Data Analysis. - Logratio approach to distributional modeling (Peter Filzmoser, Karel Hron and Alessandra Menafoglio). - A spatial Durbin model for compositional data (Tingting Huang, Gilbert Saporta and Huiwen Wang ). - Compositional analysis of exchange rates (Wilfredo L. Maldonado, Juan José Egozcue and Vera Pawlowsky-Glahn). - Logcontrast and orthonormal logratio coordinates for compositional data with a total (Josep Antoni MartÃn-Fernández and Carles Barceló-Vidal). - Independent component analysis for compositional data (Christoph Muehlmann, Kamila Facevicová, Alzbeta Gardlo, Hana Janecková and Klaus Nordhausen) - Diet quality and food sources in Vietnam: First evidence using compositional data analysis (Michel Simioni, Huong Thi Trinh, Tuyen Thi Thanh Huynh and Thao-VyVuong). - Part V Tools for Empirical Studies in Economics and Social Sciences. - Mobility for study and professional integration: an empirical overview of the situation in France based on the Cereq generational surveys (Bastien Bernela, Liliane Bonnal and Pascal Favard). - Towards a FAIR reproducible research (Christophe Bontemps and Valérie Orozco)- One man, one vote Part 2: Measurement of malapportionment and dispropo
1 different editions
Also available
Also in
Probability & Statistics
R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
Wickham, Hadley
Grolemund, Garrett
Paperback
AP Statistics Premium, 2027: 9 Practice Tests + Comprehensive Review + Online Practice
Sternstein, Martin, PH. D.
Paperback
R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
Cetinkaya-Rundel, Mine
Wickham, Hadley
Grolemund, Garrett
Paperback
Graph Paper Composition Notebook: Quad Ruled 5x5, Grid Paper for Students in Math and Science
Wizo, Math
Paperback
Forecasting: Principles and Practice, the Pythonic Way
Hyndman, Rob J.
Athanasopoulos, George
Paperback
The Art of Uncertainty: How to Navigate Chance, Ignorance, Risk and Luck
Spiegelhalter, David
Paperback
Stat 208 Statistical Thinking: A Book for Stat 208 at Virginia Commonwealth University
Street IV, W. Scott
Durfee, Becky
Paperback
An Introduction to Statistical Learning: With Applications in R
Witten, Daniela
Hastie, Trevor
James, Gareth
Paperback
Mastering Claude AI: Practical Journey from First Prompts to Pro with Claude AI
Dickey, Ryan
Paperback
Introduction to Statistics: An Intuitive Guide for Analyzing Data and Unlocking Discoveries
Frost, Jim
Paperback
Ai-Assisted Statistics for Data Scientists: 50+ Essential Concepts Using R and Python
Bruce, Peter
Bruce, Andrew
Gedeck, Peter
Paperback
How the World Really Works: The Science Behind How We Got Here and Where We're Going
Smil, Vaclav
Paperback
Scale: The Universal Laws of Life, Growth, and Death in Organisms, Cities, and Companies
West, Geoffrey
Paperback
The Art of Uncertainty: How to Navigate Chance, Ignorance, Risk and Luck
Spiegelhalter, David
Hardcover
The Random Universe: How Models and Probability Help Us Make Sense of the Cosmos
Jaffe, Andrew H.
Hardcover
Schaum's Outline of Probability and Statistics, 4th Edition: 897 Solved Problems + 20 Videos
Srinivasan, R. Alu
Spiegel, Murray R.
Schiller, John J.
Paperback
Advanced Statistics in Research: Reading, Understanding, and Writing Up Data Analysis Results
Hatcher, Larry
Paperback
The Only Math Book You'll Ever Need, Revised Edition: Hundreds of Easy Solutions and Shortcuts for Mastering Everyday Numbers
Kogelman, Stanley
Heller, Barbara R.
Paperback
Schaum's Outline of Probability, Random Variables, and Random Processes, Fourth Edition
Hsu, Hwei P.
Paperback
Mathematical Foundations of Quantum Computing: A Scaffolding Approach
Cheng, Ran
Lee, Peter
Yu, James
Hardcover
The End of Average: Unlocking Our Potential by Embracing What Makes Us Different
Rose, Todd
Paperback
Mathletics: How Gamblers, Managers, and Fans Use Mathematics in Sports, Second Edition
Winston, Wayne L.
Nestler, Scott
Pelechrinis, Konstantinos
Paperback
Building Large Language Models from Scratch: Design, Train, and Deploy Llms with Pytorch
Grigorov, Dilyan
Paperback
Regression Modeling Strategies: With Applications to Linear Models, Logistic and Ordinal Regression, and Survival Analysis
Harrell Jr, Frank E.
Paperback
How the World Really Works: The Science Behind How We Got Here and Where We're Going
Smil, Vaclav
Hardcover
Damned Lies and Statistics: Untangling Numbers from the Media, Politicians, and Activists
Best, Joel
Hardcover
Challenging Mathematical Problems with Elementary Solutions, Vol. I: Volume 1
Yaglom, A. M.
Yaglom, I. M.
Paperback
SQL Server 2025 Unveiled: The Ai-Ready Enterprise Database with Microsoft Fabric Integration
Ward, Bob
Paperback
Databricks Data Intelligence Platform: Unlocking the Genai Revolution
Yip, Jason
Gupta, Nikhil
Paperback
System Design with AI Interview Guide: Designing Scalable, Agentic, and Defensible Systems
Bhardwaj, Rohit
Paperback
Quantum Computing and Quantum Machine Learning for Engineers and Developers
Van Griensven Thé, Jesse
Rosas-Bustos, Jose
Fraser, Roydon Andrew
Hardcover
The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World
Domingos, Pedro
Paperback
Large Language Models: A Deep Dive: Bridging Theory and Practice
Somers, Garrett
Kamath, Uday
Keenan, Kevin
Hardcover
Probably the Best Book on Statistics Ever Written: How to Beat the Odds and Make Better Decisions
Shapira, Haim
Hardcover
Making ChatGPT Work for You: Getting the Most Out of Generative AI as a Non-Techie
Evelyn, Lydia
Paperback
Probably Overthinking It: How to Use Data to Answer Questions, Avoid Statistical Traps, and Make Better Decisions
Downey, Allen B.
Paperback
The Theory That Would Not Die: How Bayes' Rule Cracked the Enigma Code, Hunted Down Russian Submarines, and Emerged Triumphant from Two Centuries of C
McGrayne, Sharon Bertsch
Paperback
Time Series Analysis and Its Applications: With R Examples
Stoffer, David S.
Shumway, Robert H.
Hardcover
Learning Statistics with Jamovi: A Tutorial for Beginners in Statistical Analysis
Navarro, Danielle
Foxcroft, David
Paperback
An Introduction to Statistical Learning: With Applications in Python
Hastie, Trevor
James, Gareth
Witten, Daniela
Hardcover
Probably Overthinking It: How to Use Data to Answer Questions, Avoid Statistical Traps, and Make Better Decisions
Downey, Allen B.
Hardcover
Machine Learning Q and AI: 30 Essential Questions and Answers on Machine Learning and AI
Raschka, Sebastian
Paperback
A Modern Introduction to Probability and Statistics: Understanding Why and How
Lopuhaä, H. P.
Dekking, F. M.
Kraaikamp, C.
Hardcover
AI for Robotics: Toward Embodied and General Intelligence in the Physical World
Imran, Alishba
Gopalakrishnan, Keerthana
Paperback
Guide to Methods for Students of Political Science: Property, Proof, and Dispute in Catalonia Around the Year 1000
Van Evera, Stephen
Paperback
Scorecasting: The Hidden Influences Behind How Sports Are Played and Games Are Won
Moskowitz, Tobias
Wertheim, L. Jon
Paperback
Mathematical Modeling and Computation in Finance: With Exercises and Python and MATLAB Computer Codes
Grzelak, Lech A.
Oosterlee, Cornelis W.
Paperback
Mathematical Foundations of Quantum Computing: A Scaffolding Approach
Cheng, Ran
Lee, Peter
Yu, James
Paperback
Modern Time Series Forecasting with Python - Second Edition: Industry-ready machine learning and deep learning time series analysis with PyTorch and p
Tackes, Jeffrey
Joseph, Manu
Paperback
Observability for Large Language Models: Site Reliability and Chaos Engineering for AI at Scale
Sharma, Ankush
Paperback
Challenging Mathematical Problems with Elementary Solutions, Vol. II: Volume 2
Yaglom, A. M.
Yaglom, I. M.
Paperback
ACCUPLACER Math Prep: ACCUPLACER Math Test Study Guide with Two Practice Tests [Includes Detailed Answer Explanations]
Tpb Publishing
Paperback
Prompt Engineering for Everyone: A Self-Taught, Human-Centered Approach to AI Programming
Tavakoli, Hamid
Paperback
The Design Inference: Eliminating Chance through Small Probabilities
Dembski, William A.
Ewert, Winston
Hardcover
High-Dimensional Probability: An Introduction with Applications in Data Science
Vershynin, Roman
Hardcover
Discrete Nonlinear Schrodinger Equation: Beyond Complete Integrability
Zhang, Guoping
Pankov, Alexander
Hardcover
The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition
Friedman, Jerome
Hastie, Trevor
Tibshirani, Robert
Hardcover
Introduction to Statistics: An Intuitive Guide for Analyzing Data and Unlocking Discoveries
Frost, Jim
Hardcover
Telling Time Workbook: Practice Reading and Draw the Hand on the Clocks One Hour Half Hour 15 5 1 Minutes
Winny, Renzo
Paperback
Large Language Model Recipes: A Hands-On Guide to Fine-Tuning, Optimization, Deployment, and Real-World Applications
Kaata, Sashi Kiran
Bolla, Bharath Kumar
Subbaiah, Kalpa
Paperback
Unlocking Dbt: Design and Deploy Transformations in Your Cloud Data Warehouse
Cyr, Cameron
Dorsey, Dustin
Paperback
Bayesian Analysis with Python - Third Edition: A practical guide to probabilistic modeling
Martin, Osvaldo
Paperback
The ESRI Guide to GIS Analysis, Volume 2: Spatial Measurements and Statistics
Mitchell, Andy
Griffin, Lauren Scott
Paperback
Databricks Data Intelligence Platform: Powering the Agentic Era
Yip, Jason
Gupta, Nikhil
Wojtyczka, Marcin
Paperback
R in Action, Third Edition: Data Analysis and Graphics with R and Tidyverse
Kabacoff, Robert I.
Paperback
Building Generative AI Agents: Using Langgraph, Autogen, and Crewai
Deshmukh, Gaurav
Taulli, Tom
Paperback
Large Language Models: From Theory to Production
Pacheco Aznar, David
Vanegas, Esteban
Noguer I. Alonso, Miquel
Paperback
Transformation Enterprise Architecture with Agentic AI: Designing Intelligent, Adaptive, and Self-Governing Systems
Goniwada, Shivakumar R.
Paperback
Deep Learning in Computational Mechanics: An Introductory Course
Weeger, Oliver
Jokeit, Moritz
Herrmann, Leon
Hardcover
Making Statistics Work: Information Theory and Bayesian Inference
Foley, Duncan
Scharfenaker, Ellis
Paperback
An Introduction to Statistical Learning: With Applications in R
Hastie, Trevor
James, Gareth
Witten, Daniela
Hardcover
