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AN ARMA TYPE PROBABILITY DENSITY ESTIMATOR

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BAYESIAN OBJECT CLASSIFICATION OF GOLD NANOPARTICLES

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Reply to the Discussion of "Estimating the Distribution of Dietary Consumption Patterns"

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EFFICIENT AND ADAPTIVE LINEAR REGRESSION IN SEMI-SUPERVISED SETTINGS

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Sampling for passive Internet measurement: A review

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Reciprocal Graphical Models for Integrative Gene Regulatory Network Analysis

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Transient random walks on a strip in a random environment

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A location-mixture autoregressive model for online forecasting of lung tumor motion

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Smoothing-inspired lack-of-fit tests based on ranks

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Hard-edge asymptotics of the Jacobi growth process

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DIMENSION REDUCTION IN A SEMIPARAMETRIC REGRESSION-MODEL WITH ERRORS IN COVARIATES

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NETWORK CLASSIFICATION WITH APPLICATIONS TO BRAIN CONNECTOMICS.

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AN ASYMPTOTIC THEORY FOR SLICED INVERSE REGRESSION

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Shape Constraints in Economics and Operations Research

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Bias Reduction in Kernel Density Estimation by Smoothed Empirical Transformations

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[Choosing a Kernel Regression Estimator]: Comment

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Warped Dynamic Linear Models for Time Series of Counts

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A GAUSSIAN SMALL DEVIATION INEQUALITY FOR CONVEX FUNCTIONS

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Local linear regression for generalized linear models with missing data

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Estimation and inference of error-prone covariate effect in the presence of confounding variables.

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Bayesian Model Selection Based on Proper Scoring Rules - Comment

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COVARIATE MATCHING METHODS FOR TESTING AND QUANTIFYING WIND TURBINE UPGRADES

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Asymptotic loss probability in a finite buffer fluid queue with heterogeneous heavy-tailed On-Off processes

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$M$-Estimation for Discrete Data: Asymptotic Distribution Theory and Implications

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A short note on Markov duality in multi-species higher spin stochastic vertex models

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Improved inference for vaccine-induced immune responses via shape-constrained methods.

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Bayesian-motivated tests of function fit and their asymptotic frequentist properties

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Categorizing a continuous predictor subject to measurement error.

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Estimation and Inference in Generalized Additive Coefficient Models for Nonlinear Interactions with High-Dimensional Covariates.

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KILLED BROWNIAN MOTION WITH A PRESCRIBED LIFETIME DISTRIBUTION AND MODELS OF DEFAULT

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REJOINDER: "FIBER DIRECTION ESTIMATION, SMOOTHING AND TRACKING IN DIFFUSION MRI".

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Approximation and learning by greedy algorithms

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Testing the structural stability of temporally dependent functional observations and application to climate projections

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Statistical inference for time-varying ARCH processes

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EFFECTIVE MODEL CALIBRATION VIA SENSIBLE VARIABLE IDENTIFICATION AND ADJUSTMENT WITH APPLICATION TO COMPOSITE FUSELAGE SIMULATION

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SPATIO-TEMPORAL SHORT-TERM WIND FORECAST: A CALIBRATED REGIME-SWITCHING METHOD.

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Normalized least-squares estimation in time-varying ARCH models

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OPTIMAL REPLACEMENT FOR SYSTEMS GOVERNED BY MARKOV ADDITIVE SHOCK PROCESSES

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Estimation of partially conditional average treatment effect by double kernel-covariate balancing

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Bayesian Solution Uncertainty Quantification for Differential Equations

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Hypercontractivity and Comparison of Moments of Iterated Maxima and Minima of Independent Random Variables

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On the Mean Convergence of the Best Linear Interpolator of Multivariate Stationary Stochastic Processes

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Coexistence and extinction for stochastic Kolmogorov systems

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THE LIMITING DISTRIBUTION OF LEAST-SQUARES IN AN ERRORS-IN-VARIABLES REGRESSION-MODEL

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HYPERCONTRACTIVITY AND LOWER DEVIATION ESTIMATES IN NORMED SPACES

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The analysis of change-point data with dependent errors

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REPORT OF THE AD-HOC-COMMITTEE-ON-DOUBLE-BLIND-REFEREEING AND ON DESIGN OF AN EXPERIMENT ON DOUBLE-BLIND REFEREEING - COMMENT

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ESTIMATION AND VARIABLE SELECTION FOR GENERALIZED ADDITIVE PARTIAL LINEAR MODELS.

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Analysis of Case-Control Association Studies: SNPs, Imputation and Haplotypes.

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TENSOR DECOMPOSITIONS AND SPARSE LOG-LINEAR MODELS.

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Adaptive estimation in symmetric location model under log-concavity constraint

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Liquid Chromatography Mass Spectrometry-Based Proteomics: Biological and Technological Aspects.

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Bayesian Estimation of Correlation Matrices of Longitudinal Data

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ADAPTING FOR HETEROSCEDASTICITY IN LINEAR-MODELS

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On Numerical Aspects of Bayesian Model Selection in High and Ultrahigh-dimensional Settings.

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The inverse first passage time problem for killed Brownian motion

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The Gaussian free field in interlacing particle systems

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Fixed-smoothing asymptotics for time series

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FIBER DIRECTION ESTIMATION, SMOOTHING AND TRACKING IN DIFFUSION MRI.

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DECONVOLUTION-BASED SCORE TESTS IN MEASUREMENT ERROR MODELS

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Random walks in a moderately sparse random environment.

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[Report of the Ad Hoc Committee on Design of an Experiment on Double-Blind Refereeing]: Comment

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COVARIANCE APPROXIMATION FOR LARGE MULTIVARIATE SPATIAL DATA SETS WITH AN APPLICATION TO MULTIPLE CLIMATE MODEL ERRORS

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ANOPOW FOR REPLICATED NONSTATIONARY TIME SERIES IN EXPERIMENTS.

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Comment: Bayesian Checking of the Second Levels of Hierarchical Models

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An alternative to traditional GPA for evaluating student performance

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Data Augmentation for Support Vector Machines

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Efficient Bayesian Regularization for Graphical Model Selection.

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A classification of the dynamics of three-dimensional stochastic ecological systems

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BAYESIAN VARIABLE SELECTION FOR SURVIVAL DATA USING INVERSE MOMENT PRIORS.

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AUTOMATIC ESTIMATION OF FLUX DISTRIBUTIONS OF ASTROPHYSICAL SOURCE POPULATIONS

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DATA-DRIVEN BANDWIDTH CHOICE FOR DENSITY-ESTIMATION BASED ON DEPENDENT DATA

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SiAM: A Hybrid of Single Index Models and Additive Models.

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Conditional mean and quantile dependence testing in high dimension

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An asymptotic theory for spectral analysis of random fields

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A ROBUST AND EFFICIENT APPROACH TO CAUSAL INFERENCE BASED ON SPARSE SUFFICIENT DIMENSION REDUCTION.

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A new multivariate measurement error model with zero-inflated dietary data, and its application to dietary assessment

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Stability of Nonlinear Time Series: What Does Noise Have to Do with It?

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SIMEX and standard error estimation in semiparametric measurement error models.

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INVESTIGATING INTERNATIONAL NEW PRODUCT DIFFUSION SPEED: A SEMIPARAMETRIC APPROACH

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BAYESIAN SPLINE METHOD FOR ASSESSING EXTREME LOADS ON WIND TURBINES

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UNEXPECTED PROPERTIES OF BANDWIDTH CHOICE WHEN SMOOTHING DISCRETE DATA FOR CONSTRUCTING A FUNCTIONAL DATA CLASSIFIER.

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DETECTING ABRUPT CHANGES IN THE SPECTRA OF HIGH-ENERGY ASTROPHYSICAL SOURCES

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Random walks in a sparse random environment

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Estimating covariance matrices using estimating functions in nonparametric and semiparametric regression

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TESTING GOODNESS-OF-FIT IN REGRESSION VIA ORDER SELECTION CRITERIA

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Finding the optimal dynamic treatment regimes using smooth Fisher consistent surrogate loss

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An interacting particle system with geometric jump rates near a partially reflecting boundary

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Rank discriminants for predicting phenotypes from RNA expression

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POSTERIOR CONTRACTION IN SPARSE BAYESIAN FACTOR MODELS FOR MASSIVE COVARIANCE MATRICES

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Fast Model-Fitting of Bayesian Variable Selection Regression Using the Iterative Complex Factorization Algorithm.

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Nonparametric Goodness of Fit via Cross-Validation Bayes Factors

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Covariance Estimation: The GLM and Regularization Perspectives

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NONPARAMETRIC-ESTIMATION OF OPTIMAL PERFORMANCE CRITERIA IN QUALITY ENGINEERING

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LAW OF LARGE NUMBERS AND CENTRAL LIMIT-THEOREM IN BANACH-SPACES

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Bayesian model assessment using pivotal quantities

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INTERPRETING SELF-ORGANIZING MAPS THROUGH SPACE-TIME DATA MODELS

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A note on multitype branching processes with immigration in a random environment

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Bayesian Causal Inference with Bipartite Record Linkage

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A Log-scale Limit Theorem for One-dimensional Random Walks in Random Environments

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Estimation in a semiparametric partially linear errors-in-variables model

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Admissibile Kernel Estimators of a Multivariate Density

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Stability and the Lyapounov exponent of threshold AR-ARCH Models

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INCORPORATING GEOSTROPHIC WIND INFORMATION FOR IMPROVED SPACE-TIME SHORT-TERM WIND SPEED FORECASTING

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Dimension reduction and estimation in the secondary analysis of case-control studies.

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Efficient estimation of a semiparametric partially linear varying coefficient model

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OPTIMAL REAL-TIME DETECTION OF A DRIFTING BROWNIAN COORDINATE

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Large deviations of inverse processes with nonlinear scalings

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On the Existence of Uniformly Most Powerful Bayesian Tests With Application to Non-Central Chi-Squared Tests

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Linearization coefficients for orthogonal polynomials using stochastic processes

# publisherOf[].label
Nonparametric estimation of correlation functions in longitudinal and spatial data, with application to colon carcinogenesis experiments

# publisherOf[].label
USE OF MULTIPLE SINGULAR VALUE DECOMPOSITIONS TO ANALYZE COMPLEX INTRACELLULAR CALCIUM ION SIGNALS.

# publisherOf[].label
BAYESIAN SPARSE GRAPHICAL MODELS FOR CLASSIFICATION WITH APPLICATION TO PROTEIN EXPRESSION DATA.

# publisherOf[].label
Estimating the Distribution of Dietary Consumption Patterns.

# publisherOf[].label
Adaptive wavelet estimator for nonparametric density deconvolution

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A generalized linear mixed model for longitudinal binary data with a marginal logit link function.