Spline Models for Observational Data

A tutorial on support vector regression

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The Elements of Statistical Learning: Data Mining, Inference, and Prediction

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De-noising by soft-thresholding

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Fast Stable Restricted Maximum Likelihood and Marginal Likelihood Estimation of Semiparametric Generalized Linear Models

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Shape matching and object recognition using shape contexts

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An overview of statistical learning theory

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Nonrigid registration using free-form deformations: application to breast mr images

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Statistical Modeling: The Two Cultures (with comments and a rejoinder by the author)

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Analysis of Discrete Ill-Posed Problems by Means of the L-Curve

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Flexible smoothing with B-splines and penalties

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Networks for approximation and learning

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Generalized Additive Models

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Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning

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Universal approximation bounds for superpositions of a sigmoidal function

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Point Set Registration: Coherent Point Drift

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Construction of correlation functions in two and three dimensions

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Varying-Coefficient Models

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Reconstruction and representation of 3D objects with radial basis functions

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Inverse problems: A Bayesian perspective

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REGULARIZATION TOOLS: A Matlab package for analysis and solution of discrete ill-posed problems

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Kernel methods in machine learning

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Splines: a perfect fit for signal and image processing

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A Generalized Representer Theorem

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Genome-Wide Regression and Prediction with the BGLR Statistical Package

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On the mathematical foundations of learning

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Machine Learning Force Fields

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GAUSSIAN PROCESSES FOR MACHINE LEARNING

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Regularized multi--task learning

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Does Adaptation to Climate Change Provide Food Security? A Micro‐Perspective from Ethiopia

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KERNEL METHODS IN MACHINE LEARNING

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Convex multi-task feature learning

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TOPEX/POSEIDON tides estimated using a global inverse model

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Generalized additive models for medical research

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A spectral technique for correspondence problems using pairwise constraints

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A Brief Survey of Bandwidth Selection for Density Estimation

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Regularization Networks and Support Vector Machines

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Input space versus feature space in kernel-based methods

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Deformable templates using large deformation kinematics

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Overview and Recent Advances in Partial Least Squares

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Iterative Methods for Total Variation Denoising

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Nonconcave penalized likelihood with a diverging number of parameters

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Regularization Algorithms for Learning That Are Equivalent to Multilayer Networks

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Gaussian Predictive Process Models for Large Spatial Data Sets

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Fixed Rank Kriging for Very Large Spatial Data Sets

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Robust Point Set Registration Using Gaussian Mixture Models

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Review of surrogate modeling in water resources

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Information-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting

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Some Tools for Functional Data Analysis

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Flexible Discriminant Analysis by Optimal Scoring

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Philosophy and the practice of Bayesian statistics

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Unified Notation for Data Assimilation : Operational, Sequential and Variational (gtSpecial IssueltData Assimilation in Meteology and Oceanography: Theory and Practice)

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Compound facial expressions of emotion

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Semi-Supervised Learning on Riemannian Manifolds

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Bayesian classification with Gaussian processes

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Nonlinear wavelet image processing: variational problems, compression, and noise removal through wavelet shrinkage

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Bayesian Prediction of Deterministic Functions, with Applications to the Design and Analysis of Computer Experiments

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Philosophy and the practice of Bayesian statistics

Gelman, A., & Shalizi, C. R. (2010) · Cited by 709

Statistical behavior and consistency of classification methods based on convex risk minimization

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Fast Stable Direct Fitting and Smoothness Selection for Generalized Additive Models

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ThemeRiver: visualizing thematic changes in large document collections

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A chronology of interpolation: from ancient astronomy to modern signal and image processing

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Prediction with Gaussian Processes: From Linear Regression to Linear Prediction and Beyond

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Modelling topographic potential for erosion and deposition using GIS

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Solving Ill-Conditioned and Singular Linear Systems: A Tutorial on Regularization

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Boosting bit rates in noninvasive EEG single-trial classifications by feature combination and multiclass paradigms

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Neural Networks and Related Methods for Classification

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The connection between regularization operators and support vector kernels

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Parameter estimation for differential equations: a generalized smoothing approach

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Low‐Rank Scale‐Invariant Tensor Product Smooths for Generalized Additive Mixed Models

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An overview of robust Bayesian analysis

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Bump hunting in high-dimensional data

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A review of spline function procedures in R

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An introduction to multivariate adaptive regression splines

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Mathematics for Machine Learning

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Component selection and smoothing in multivariate nonparametric regression

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Robust Point Matching via Vector Field Consensus

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A Reassessment of the Groundwater Inverse Problem

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Modelling Palaeoecological Time Series Using Generalised Additive Models

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Chapter 76 Large Sample Sieve Estimation of Semi-Nonparametric Models

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Adaptive sparseness for supervised learning

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A surface-based technique for warping three-dimensional images of the brain

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Landmark matching via large deformation diffeomorphisms

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Statistical aspects of neural networks

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Estimating treatment effect heterogeneity in randomized program evaluation

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Methods for choosing the regularization parameter and estimating the noise variance in image restoration and their relation

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A New Inferential Test for Path Models Based on Directed Acyclic Graphs

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On image analysis by moments

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Flexible Methods for Analyzing Survival Data Using Splines, with Applications to Breast Cancer Prognosis

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A tutorial on ν ‐support vector machines

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Assimilation of Observations, an Introduction (gtSpecial IssueltData Assimilation in Meteology and Oceanography: Theory and Practice)

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Online Prediction of Time Series Data With Kernels

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Nonlinear System Identification: A User-Oriented Road Map

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Generalized correlation function: definition, properties, and application to blind equalization

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Smoothing by Local Regression: Principles and Methods

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Hinging hyperplanes for regression, classification, and function approximation

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Volume-preserving nonrigid registration of MR breast images using free-form deformation with an incompressibility constraint

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Interpolation by regularized spline with tension: I. Theory and implementation

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A new algorithm for non-rigid point matching

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Biometrics, biomathematics and the morphometric synthesis

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DETERMINING QUALITY REQUIREMENTS AT THE UNIVERSITIES TO IMPROVE THE QUALITY OF EDUCATION

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Susquehanna Chorale Spring Concert "Roots and Wings"

Hawkins, D. (2017)

Observational Studies

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The Effects of Video Observational Training on Video and Live Observational Proficiency

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The value of including observational studies in systematic reviews was unclear: a descriptive study

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