An Invitation to Statistics in Wasserstein Space
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Efficient maximum likelihood estimation for L\'{e}vy-driven Ornstein-Uhlenbeck processes
We consider the problem of efficient estimation of the drift parameter of an Ornstein-Uhlenbeck type process driven by a L\'{e}vy process when high-frequency observations are given. The estimator is c...
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Analyzing Qualitative Data with MAXQDA
Text, Audio, and Video...
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Psychometric Framework for Modeling Parental Involvement and Reading Literacy
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Evolutionary Genomics
Statistical and Computational Methods...
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Performance Tuning with SQL Server Dynamic Management Views
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Socioeconomic Inequality and Educational Outcomes
Evidence from Twenty Years of TIMSS...
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Estimating Illicit Financial Flows
A Critical Guide to the Data, Methodologies, and Findings...
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Minimum distance regression model checking with Berkson measurement errors
Lack-of-fit testing of a regression model with Berkson measurement error has not been discussed in the literature to date. To fill this void, we propose a class of tests based on minimized integrated ...
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Asymptotics of Empirical Eigen-structure for Ultra-high Dimensional Spiked Covariance Model
We derive the asymptotic distributions of the spiked eigenvalues and eigenvectors under a generalized and unified asymptotic regime, which takes into account the spike magnitude of leading eigenvalues...
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Social Statistics and Ethnic Diversity
Cross-National Perspectives in Classifications and Identity Politics...
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Integration Processes and Policies in Europe
Contexts, Levels and Actors...
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Lies, Damned Lies, or Statistics
How to Tell the Truth with Statistics...
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Lewis Fry Richardson: His Intellectual Legacy and Influence in the Social Sciences
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Asymptotic Coincidence of the Statistics for Degenerate and Non-Degenerate Correlated Real Wishart E
The correlated Wishart model provides the standard benchmark when analyzing time series of any kind. Unfortunately, the real case, which is the most relevant one in applications, poses serious challen...
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Motivational Profiles in TIMSS Mathematics
Exploring Student Clusters Across Countries and Time...
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Learning Landscape Ecology
A Practical Guide to Concepts and Techniques...
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Internal Migration, Urbanization and Poverty in Asia: Dynamics and Interrelationships
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Research on Teaching and Learning Probability
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The Brownian Motion
A Rigorous but Gentle Introduction for Economists...
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Essentials of Business Analytics
An Introduction to the Methodology and its Applications...
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What Is Data Science?
The future belongs to the companies and people that turn data into products...
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Market Segmentation Analysis
Understanding It, Doing It, and Making It Useful...
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Data-Driven Policy Impact Evaluation
How Access to Microdata is Transforming Policy Design...
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Wellbeing, Freedom and Social Justice
The Capability Approach Re-Examined...
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Sequential Monte Carlo for fractional Stochastic Volatility Models
In this paper we consider a fractional stochastic volatility model, that is a model in which the volatility may exhibit a long-range dependent or a rough/antipersistent behavior. We propose a dynamic ...
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Risk estimation for high-dimensional lasso regression
In high-dimensional estimation, analysts are faced with more parameters $p$ than available observations $n$, and asymptotic analysis of performance allows the ratio $p/n\rightarrow \infty$. This situa...
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Testing monotonicity of a hazard: asymptotic distribution theory
Two new test statistics are introduced to test the null hypotheses that the sampling distribution has an increasing hazard rate on a specified interval [0,a]. These statistics are empirical L_1-type d...
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The Data Journalism Handbook
How Journalists Can Use Data to Improve the News...
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Spationomy
Spatial Exploration of Economic Data and Methods of Interdisciplinary Analytics...
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Information technology project managers' competencies
An analysis of performance and personal competencies...
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Anisotropy Across Fields and Scales
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Asymptotics for change-point models under varying degrees of mis-specification
Change-point models are widely used by statisticians to model drastic changes in the pattern of observed data. Least squares/maximum likelihood based estimation of change-points leads to curious asymp...
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A History of Male Psychological Disorders in Britain, 1945–1980
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Visualizing Mortality Dynamics in the Lexis Diagram
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Integrating Immigrants in Europe
Research-Policy Dialogues...
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Bayesian Methods in the Search for MH370
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Sensitivity Analysis: Matrix Methods in Demography and Ecology
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The Challenge of Chance
A Multidisciplinary Approach from Science and the Humanities...
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Annotated Algorithms in Python
With applications in Physics, Biology, and Finance...
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A Concise Guide to Market Research
The Process, Data, and Methods Using IBM SPSS Statistics...
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Tail asymptotic of Weibull-type risks
In this paper we derive the tail asymptotics of the product of two dependent Weibull-type risks, which is of interest in various statistical and applied probability problems. Our results extend some r...
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Multilevel Modelling for Public Health and Health Services Research
Health in Context...
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Flexible Tweedie regression models for continuous data
Tweedie regression models provide a flexible family of distributions to deal with non-negative highly right-skewed data as well as symmetric and heavy tailed data and can handle continuous data with p...
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Seeing Theory
A Visual Introduction to Probability and Statistics...
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Principles of Finance
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Concepts, Methods and Practical Applications in Applied Demography
An Introductory Textbook...
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Old and New Perspectives on Mortality Forecasting
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Research Methods in Psychology
American Edition...
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Innovations in Derivatives Markets
Fixed Income Modeling, Valuation Adjustments, Risk Management, and Regulation...
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Modern Mathematics Education for Engineering Curricula in Europe
A Comparative Analysis of EU, Russia, Georgia and Armenia...
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Linux Appliance Design
A Hands-on Guide to Building Linux Appliances...
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Empirical Research in Statistics Education
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Drift Estimation in Sparse Sequential Dynamic Imaging: with Application to Nanoscale Fluorescence Mi
A major challenge in many modern superresolution fluorescence microscopy techniques at the nanoscale lies in the correct alignment of long sequences of sparse but spatially and temporally highly resol...
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Introduction to the Theory of Statistics
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Teacher Quality, Instructional Quality and Student Outcomes
Relationships Across Countries, Cohorts and Time...
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A class of regression models for parallel and series systems with a random number of components
In this paper we extend the Weibull power series (WPS) class of distributions and named this new class as extended Weibull power series (EWPS) class of distributions. The EWPS distributions are relate...
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Perspectives on Elderly Crime and Victimization
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Affect and Mathematics Education
Fresh Perspectives on Motivation, Engagement, and Identity...
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Primordial Non-Gaussianity and Extreme-Value Statistics of Galaxy Clusters
What is the size of the most massive object one expects to find in a survey of a given volume? In this paper, we present a solution to this problem using Extreme-Value Statistics, taking into account ...
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Testing the maximal rank of the volatility process for continuous diffusions observed with noise
In this paper, we present a test for the maximal rank of the volatility process in continuous diffusion models observed with noise. Such models are typically applied in mathematical finance, where lat...
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An asymptotically normal test for the selective neutrality hypothesis
An important parameter in the study of population evolution is $\theta=4N\nu$, where $N$ is the effective population size and $\nu$ is the rate of mutation per locus per generation. Therefore, $\theta...
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OpenIntro Statistics
A complete foundation for Statistics, also serving as a foundation for Data Science....
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Introductory Business Statistics
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Computer and Information Sciences
31st International Symposium, ISCIS 2016, Kraków, Poland, October 27–28, 2016, Proceedings...
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The Social Metabolism of Spanish Agriculture, 1900–2008
The Mediterranean Way Towards Industrialization...
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Large-Scale Cognitive Assessment
Analyzing PIAAC Data...
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Asymptotic independence of three statistics of maximal segmental scores
Let $\xi_1,\xi_2,\ldots$ be an iid sequence with negative mean. The $(m,n)$-segment is the subsequence $\xi_{m+1},\ldots,\xi_n$ and its \textit{score} is given by $\max\{\sum_{m+1}^n\xi_i,0\}$. Let $R...
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Understanding Statistics and Experimental Design
How to Not Lie with Statistics...
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Critical Data Literacy
Strategies to Effectively Interpret and Evaluate Data Visualizations...
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SQL Server Execution Plans, 3rd Edition
For SQL Server 2008 through to 2017 and Azure SQL Database...
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Model-Based Demography
Essays on Integrating Data, Technique and Theory...
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Minimum {\phi}-divergence estimation in constrained latent class models for binary data
The main purpose of this paper is to introduce and study the behavior of minimum {\phi}-divergence estimators as an alternative to the maximum likelihood estimator in latent class models for binary it...
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The Evolutionary Dynamics of Discursive Knowledge
Communication-Theoretical Perspectives on an Empirical Philosophy of Science...
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Statistics with Julia
Fundamentals for Data Science, Machine Learning and Artificial Intelligence...
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Advancing Human Assessment
The Methodological, Psychological and Policy Contributions of ETS...
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Forecasting and Assessing Risk of Individual Electricity Peaks
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The Amazing Journey of Reason
from DNA to Artificial Intelligence...
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Sequence Analysis and Related Approaches
Innovative Methods and Applications...
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Performance of information criteria used for model selection of Hawkes process models of financial d
We test three common information criteria (IC) for selecting the order of a Hawkes process with an intensity kernel that can be expressed as a mixture of exponential terms. These processes find applic...
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Fish, Fishing and Community in North Korea and Neighbours
Vibrant Matter(s)...
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From Melancholia to Depression
Disordered Mood in Nineteenth-Century Psychiatry...
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Algorithmic Graph Theory and Sage
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Global Wine Markets, 1860 to 2016
A Statistical Compendium...
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Handbook of Mathematical Geosciences
Fifty Years of IAMG...
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Applied Quantitative Finance
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Belly-Rippers, Surgical Innovation and the Ovariotomy Controversy
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On Approximations of the Beta Process in Latent Feature Models
The beta process has recently been widely used as a nonparametric prior for different models in machine learning, including latent feature models. In this paper, we prove the asymptotic consistency of...
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Norwegian Shipping in the 20th Century
Norway's Successful Navigation of the World's Most Global Industry...
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Introduction to Data Science
Data Analysis and Prediction Algorithms with R...
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Well-being, Sustainability and Social Development
The Netherlands 1850–2050...
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Statistical Learning and Sequential Prediction
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Ship and Offshore Structure Design in Climate Change Perspective
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A new approach to optimal designs for correlated observations
This paper presents a new and efficient method for the construction of optimal designs for regression models with dependent error processes. In contrast to most of the work in this field, which starts...
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