yusuke1997/dblp-id-title huggingface dataset:
Visualizing "typical" and "exotic" Internet traffic data
Fast highly efficient and robust one-step M-estimators of scale based on Q n
A control chart based on likelihood ratio test for detecting patterned mean and variance shifts
Additive two-way hazards model with varying coefficients
Recursive estimation in econometrics
Rank regression for accelerated failure time model with clustered and censored data
Simultaneous confidence region of an embedded one-dimensional curve in multi-dimensional space
Prediction of non-stationary response functions using a Bayesian composite Gaussian process
Comorbidity of chronic diseases in the elderly: Patterns identified by a copula design for mixed responses
Improved confidence regions for a mean vector under general conditions
Testing equality of inverse Gaussian means under heterogeneity, based on generalized test variable
Model-based co-clustering for mixed type data
A small sample comparison of maximum likelihood, moments and L-moments methods for the asymmetric exponential power distribution
Transdimensional sequential Monte Carlo using variational Bayes - SMCVB
Estimating joinpoints in continuous time scale for multiple change-point models
Factor-adjusted multiple testing of correlations
Uniform design over general input domains with applications to target region estimation in computer experiments
The specification of the propensity score in multilevel observational studies
Sample size determination for estimating prevalence and a difference between two prevalences of sensitive attributes using the non-randomized triangular design
A two-component Weibull mixture to model early and late mortality in a Bayesian framework
Extension of the SAEM algorithm to left-censored data in nonlinear mixed-effects model: Application to HIV dynamics model
A class of discrete distributions arising from difference of two random variables
Choosing the best Rukhin goodness-of-fit statistics
Inference for the stochastic FitzHugh-Nagumo model from real action potential data via approximate Bayesian computation
On the use of marginal posteriors in marginal likelihood estimation via importance sampling
Statistical methods and software for risk assessment: applications to a neurophysiological data set
Maximum a posteriori pruning on decision trees and its application to bootstrap BUMPing
Multiply imputing missing values in data sets with mixed measurement scales using a sequence of generalised linear models
Marginal maximum likelihood estimation of SAR models with missing data
Bayesian analysis of robust Poisson geometric process model using heavy-tailed distributions
Fitting of mixtures with unspecified number of components using cross validation distance estimate
Approximating and reducing bias in 2SLS estimation of dynamic simultaneous equation models
Count data regression charts for the monitoring of surveillance time series
Extrapolation estimation in parametric regression models with measurement error
Semiparametric regression with shape-constrained penalized splines
A distributed community detection algorithm for large scale networks under stochastic block models
Bayesian semiparametric model for spatially correlated interval-censored survival data
CUSUM control charts for monitoring optimal portfolio weights
Approximate maximum likelihood estimation using data-cloning ABC
Nonparametric regression models for right-censored data using Bernstein polynomials
Robust edge detection in noisy images
Bayesian inference for nonlinear multivariate diffusion models observed with error
A note on interval estimation of P(XY) using lower record data from the generalized exponential distribution
Hierarchical copulas with Archimedean blocks and asymmetric between-block pairs
Modeling nonstationary covariance function with convolution on sphere
Parallel coordinates for exploratory modelling analysis
An extension of the Gauss-Newton algorithm for estimation under asymmetric loss
Clustering of spatial point patterns
Optimal response and covariate-adaptive biased-coin designs for clinical trials with continuous multivariate or longitudinal responses
Nonparametric density estimation and bandwidth selection with B-spline bases: A novel Galerkin method
Complexity control in a mixture model by the Hardy-Weinberg equilibrium
Improving the performance of predictive process modeling for large datasets
A Gaussian pseudolikelihood approach for quantile regression with repeated measurements
Clustering with the Average Silhouette Width
Pairwise comparisons of dependent groups based on medians
Compositional regression with functional response
A new correlation coefficient between categorical, ordinal and interval variables with Pearson characteristics
Medoid splits for efficient random forests in metric spaces
Asymptotic distributions and performance of empirical skewness measures
RcppArmadillo: Accelerating R with high-performance C++ linear algebra
Classification of image pixels based on minimum distance and hypothesis testing
A doubly optimal ellipse fit
An empirical study of a test for polynomial relationships in randomly right censored regression models
Minimum profile Hellinger distance estimation of general covariate models
Kappa statistic for clustered physician-patients polytomous data
Change point models for cognitive tests using semi-parametric maximum likelihood
Bootstrap-based goodness-of-fit test for parametric families of conditional distributions
Modelling and estimation of nonlinear quantile regression with clustered data
Computing and estimating information matrices of weak ARMA models
Penalized composite likelihoods for inhomogeneous Gibbs point process models
Moving block bootstrapping for a CUSUM test for correlation change
An R implementation for generalized Birnbaum-Saunders distributions
Discrete support vector decision trees via tabu search
Bundling classifiers by bagging trees
Sampling Archimedean copulas
Thresholding tests based on affine LASSO to achieve non-asymptotic nominal level and high power under sparse and dense alternatives in high dimension
Fourier transform sparse inverse regression estimators for sufficient variable selection
Likelihood-based confidence intervals for the risk ratio using double sampling with over-reported binary data
Efficient Bayesian inference for stochastic time-varying copula models
Adaptive R charts with variable parameters
Order restricted inference of a multiple step-stress model
OLS with multiple high dimensional category variables
High-dimensional data clustering
Bayesian model checking for multivariate outcome data
A note on modeling sparse exponential-family functional response curves
Bayesian estimation of large-scale simulation models with Gaussian process regression surrogates
Extreme-value analysis of teletraffic data
Robust panel unit root tests for cross-sectionally dependent multiple time series
An atmosphere-ocean time series model of global climate change
Two-stage designs for identification and estimation of polynomial models
Markov Chain Monte Carlo estimation of spatial dynamic panel models for large samples
Computing zonoid trimmed regions of dimension d>2
Cressie and Read power-divergences as influence measures for logistic regression models
Robust minimum information loss estimation
One-step minimum Hellinger distance estimation
Updating the partial singular value decomposition in latent semantic indexing
Adaptive threshold computation for CUSUM-type procedures in change detection and isolation problems
Indirect estimation of alpha-stable stochastic volatility models
Vine copula statistical disclosure control for mixed-type data
Data-driven algorithms for dimension reduction in causal inference
Objective Bayesian analysis for bivariate Marshall-Olkin exponential distribution
The computation of bivariate normal and t probabilities, with application to comparisons of three normal means
A least squares approach to latent variables extraction in formative-reflective models
A Bayesian adaptive design for clinical trials in rare diseases
A Forward and Backward Stagewise algorithm for nonconvex loss functions with adaptive Lasso
Confidence interval estimating procedures for standardized incidence rates
SMLSOM: The shrinking maximum likelihood self-organizing map
Spatial sampling plans to monitor the 3-D spatial distribution of extremes in soil pollution surveys
Modelling receiver operating characteristic curves using Gaussian mixtures
Analyzing survival curves at a fixed point in time for paired and clustered right-censored data
Parametrically guided nonparametric density and hazard estimation with censored data
Robust diagnostics for the heteroscedastic regression model
Robustness of estimation methods in a survival cure model with mismeasured covariates
Nonnegative-lasso and application in index tracking
Nonparametric meta-analysis of independent samples of records
Variable selection of Kolmogorov-Smirnov maximization with a penalized surrogate loss
Approximate posterior distributions for convolutional two-level hidden Markov models
Promote sign consistency in the joint estimation of precision matrices
Adaptive Metropolis algorithm using variational Bayesian adaptive Kalman filter
An error in the Kinderman-Ramage method and how to fix it
Modeling tails of aggregate economic processes in a stochastic growth model
Variable selection via combined penalization for high-dimensional data analysis
Multiple imputation of missing values in a cancer mortality analysis with estimated exposure dose
Further properties and new applications of the nested Dirichlet distribution
Multivariate distributions with correlation matrices for nonlinear repeated measurements
Debiased quantile significance testing with machine learning methods
Factor-GMM estimation with large sets of possibly weak instruments
On Bayesian principal component analysis
Classification tree methods for panel data using wavelet-transformed time series
Confidence interval for a coefficient of quartile variation
Borrowing strength and borrowing index for Bayesian hierarchical models
Effects of measurement errors in predictor selection of linear regression model
Weighted tests of homogeneity for testing the number of components in a mixture
Efficient estimation of copula-GARCH models
A fast and objective multidimensional kernel density estimation method: fastKDE
The use of historical controls in estimating simultaneous confidence intervals for comparisons against a concurrent control
Diagnostics for regression dependence in tables re-ordered by the dominant correspondence analysis solution
A segmentation-based algorithm for large-scale partially ordered monotonic regression
Max-type rank tests, U-tests, and adaptive tests for the two-sample location problem - An asymptotic power study
Bayesian variable selection for a semi-competing risks model with three hazard functions
Inclusion probabilities in partially rank ordered set sampling
Approximating the F distribution via a general version of the modified signed log-likelihood ratio statistic
Forecasting daily time series using periodic unobserved components time series models
Estimation for biased partial linear single index models
Noise reduction for enhanced component identification in multi-dimensional biomolecular NMR studies
Identification of relevant subtypes via preweighted sparse clustering
Bayesian test for asymmetry and nonstationarity in MTAR model with possibly incomplete data
Regression analysis under incomplete linkage
Space-varying regression models: specifications and simulation
Computing confidence intervals for log-concave densities
Bayesian nonparametric quantile regression using splines
Graph informed sliced inverse regression
GGobi: evolving from XGobi into an extensible framework for interactive data visualization
Estimation of a digitised Gaussian ARMA model by Monte Carlo Expectation Maximisation
Nonparametric density estimation for positive time series
Horseshoe shrinkage methods for Bayesian fusion estimation
Tests for normal mixtures based on the empirical characteristic function
Self-controlled case series analyses: Small-sample performance
Robust analysis of default intensity
Solution paths for the generalized lasso with applications to spatially varying coefficients regression
Detecting influential observations in Kernel PCA
On quantile quantile plots for generalized linear models
On the usefulness of cross-validation for directional forecast evaluation
Fast smoothing in switching approximations of non-linear and non-Gaussian models
Complex-valued ICA based on a pair of generalized covariance matrices
Bayesian option pricing using mixed normal heteroskedasticity models
Web-based statistical system by using the DLL
Power computation for hypothesis testing with high-dimensional covariance matrices
Using retrospective sampling to estimate models of relationship status in large longitudinal social networks
Stable graphical model estimation with Random Forests for discrete, continuous, and mixed variables
Gibbs sampler approach for objective Bayesian inference in elliptical multivariate meta-analysis random effects model
Computation of estimates in segmented regression and a liquidity effect model
Implied volatility in oil markets
Density estimation on a network
Small area estimation of general finite-population parameters based on grouped data
Sensible functional linear discriminant analysis
Fast same-step forecast in SUTSE model and its theoretical properties
Robust shrinkage estimation and selection for functional multiple linear model through LAD loss
Practical bandwidth selection in deconvolution kernel density estimation
Corrigendum to "Modified versions of Bayesian Information Criterion for genome-wide association studies" [Comput. Statist. Data Anal. 56(5) (2012) 1038-1051]
Comparing multiple sensitivities and specificities with different diagnostic criteria: Applications to sexual abuse and sexual health research
Regression with fuzzy random data
Saddlepoint tests for accurate and robust inference on overdispersed count data
Double Generalized Threshold Models with constraint on the dispersion by the mean
Data-cloning SMC 2 : A global optimizer for maximum likelihood estimation of latent variable models
Objective Bayesian analysis for the normal compositional model
Improving implementation of linear discriminant analysis for the high dimension/small sample size problem
A new class of spatial concentration measures
Iteratively reweighted adaptive lasso for conditional heteroscedastic time series with applications to AR-ARCH type processes
Numerically stable cointegration analysis
On the estimation of mixtures of Poisson regression models with large number of components
Branching processes in continuous time as models of mutations: Computational approaches and algorithms
Simultaneous nonparametric regression in RADWT dictionaries
Normal-Gamma-Bernoulli peak detection for analysis of comprehensive two-dimensional gas chromatography mass spectrometry data
Bayesian multidimensional scaling procedure with variable selection
Bayesian semiparametric analysis of short- and long-term hazard ratios with covariates
Regularized simultaneous model selection in multiple quantiles regression
Erratum to "The optimal confidence interval for the largest normal mean with unknown variance" [Computational Statistics and Data Analysis 47 (2004) 845-866]
Generalized kernel-based inverse regression methods for sufficient dimension reduction
Robust estimation and regression with parametric quantile functions
Functional nonlinear principal component analysis
Inferences on the common mean of several inverse Gaussian populations
Time-adaptive quantile regression
Diagnostics for functional regression via residual processes
A new approach to varying-coefficient additive models with longitudinal covariates
Generating inverse Gaussian random variates by approximation
Improved interval estimation of long run response from a dynamic linear model: A highest density region approach
Exploration of distributional models for a novel intensity-dependent normalization procedure in censored gene expression data
Variational Bayesian methods for spatial data analysis
Obtaining similar null distributions in the normal linear model using computational methods
Bayesian analysis for outliers in survey sampling
Bayesian multiscale smoothing in supervised and semi-supervised kernel discriminant analysis
A new flexible direct ROC regression model: Application to the detection of cardiovascular risk factors by anthropometric measures
On the identifiability and estimation of generalized linear models with parametric nonignorable missing data mechanism
Bayesian computation for logistic regression
Segmenting magnetic resonance images via hierarchical mixture modelling
Confidence intervals for dependent data: Equating non-overlap with statistical significance
Errors in discrimination with monotone missing data from multivariate normal populations
Parallel hierarchical sampling: A general-purpose interacting Markov chains Monte Carlo algorithm
Adjustments of multi-sample U-statistics to right censored data and confounding covariates
Marginal analysis of multivariate failure time data with a surviving fraction based on semiparametric transformation cure models
Joint hierarchical generalized linear models with multivariate Gaussian random effects
Real time detection of structural breaks in GARCH models
Spatial-temporal association between fine particulate matter and daily mortality
Improved AIC selection strategy for survival analysis
Optimisation of interacting particle systems for rare event estimation
Resampling methods for ranked set samples
Estimating stochastic volatility models using daily returns and realized volatility simultaneously
Stochastic dominance with imprecise information
Interview of Professor Stanley Azen, Founder of Computational Statistics and Data Analysis (CSDA)
Bispectral-based methods for clustering time series
A unified framework of analyzing missing data and variable selection using regularized likelihood
On a robust modification of Breslow's cumulated hazard estimator
Extremal local linear quantile regression for nonlinear dependent processes
Spline smoothing in small area trend estimation and forecasting
Limited information estimation in binary factor analysis: A review and extension
Optimal aggregation of linear time series models
Linear B-spline copulas with applications to nonparametric estimation of copulas
Computation of Huber's M-estimates for a block-angular regression problem
Generalized degrees of freedom and adaptive model selection in linear mixed-effects models
Unimodal density estimation using Bernstein polynomials
Continuum directions for supervised dimension reduction
Semiparametric analysis of the additive hazards model with informatively interval-censored failure time data
Simple tests for peakedness, fat tails and leptokurtosis based on quantiles
A semiparametric Bayesian approach for joint-quantile regression with clustered data
Robust estimation in stochastic frontier models
Robust assessment of two-treatment higher-order cross-over designs against missing values
Empirical likelihood ratio confidence interval estimation of best linear combinations of biomarkers
Structural learning for Bayesian networks by testing complete separators in prime blocks
Identifying financial time series with similar dynamic conditional correlation
Optimal expectile smoothing
Optimal feature selection for sparse linear discriminant analysis and its applications in gene expression data
Simplified R-vine based forward regression
Robust multistratum baseline designs
Acceleration of the alternating least squares algorithm for principal components analysis
Confidence interval estimation of partial area under curve based on combined biomarkers
Bayesian analysis of tail asymmetry based on a threshold extreme value model
A test for the equality of covariance matrices when the dimension is large relative to the sample sizes
Spectral co-clustering in multi-layer directed networks
A fast EM algorithm for fitting joint models of a binary response and multiple longitudinal covariates subject to detection limits
Optimal projection of observations in a Bayesian setting
New classification of medical staff clinical services for optimal reconstruction of job workflow in a surgical ward: Application of spectrum analysis and sequence relational analysis
An ensemble of inverse moment estimators for sufficient dimension reduction
Detection of structural breaks in linear dynamic panel data models
Vine-copula GARCH model with dynamic conditional dependence
Recurrence relations for bivariate t and extended skew-t distributions and an application to order statistics from bivariate t
Adaptive likelihood ratio approaches for the detection of space-time disease clusters
Computational Bayesian inference for estimating the size of a finite population
A joint convex penalty for inverse covariance matrix estimation
Bayesian non-linear regression models with skew-elliptical errors: Applications to the classification of longitudinal profiles
On point estimation of the abnormality of a Mahalanobis index
Multivariate mixed normal conditional heteroskedasticity
Bandwidth selection for kernel log-density estimation
Derivation of centralized and distributed filters using covariance information
Drop-the-losers design: Binomial case
Informativeness of diagnostic marker values and the impact of data grouping
A two-stage empirical Bayes method for identifying differentially expressed genes
A GEE approach to determine sample size for pre- and post-intervention experiments with dropout
New EWMA control charts for monitoring process dispersion
Kendall regression coefficient
Goodness-of-fit test for latent block models
Bootstrap variants of the Akaike information criterion for mixed model selection
Conditional independence of multivariate binary data with an application in caries research
Matrix strategies for computing the least trimmed squares estimation of the general linear and SUR models
Generalized Birnbaum-Saunders kernel density estimators and an analysis of financial data
Simultaneous analysis of coupled data blocks differing in size: A comparison of two weighting schemes
A Bayesian analysis of an agricultural field trial with three spatial dimensions
Subgroup detection based on partially linear additive individualized model with missing data in response
Huber-type principal expectile component analysis
The l 1 solution of linear inequalities
Assessment of the effect of constraints in a new multivariate mixed method for statistical matching
Conditional-mean multiplicative operator models for count time series
A two-stage hierarchical regression model for meta-analysis of epidemiologic nonlinear dose-response data
Quintile stratification based on a misspecified propensity score in longitudinal treatment effectiveness analyses of ordinal doses
Pattern recognition via projection-based kNN rules
Estimate-based goodness-of-fit test for large sparse multinomial distributions
Statistical Learning Methods Including Dimensionality Reduction
Posterior inference for sparse hierarchical non-stationary models
Bias from misspecification of the component variances in a normal mixture
Design of experiments for bivariate binary responses modelled by Copula functions
Parameter estimation for growth interaction processes using spatio-temporal information
A note on an iterative algorithm for nonparametric estimation in biased sampling models
Hypothesis testing for finite mixture models
Likelihood-free Bayesian inference for α-stable models
On likelihood inference in binary mixed model with an application to COPD data
Design optimal sampling plans for functional regression models
Bayesian hidden Markov models for dependent large-scale multiple testing
Likelihood-free inference in high dimensions with synthetic likelihood
The nature of sensitivity in monotone missing not at random models
A nonparametric-test-based structural similarity measure for digital images
A Wilcoxon-Mann-Whitney spatial scan statistic for functional data
Large-scale estimation of random graph models with local dependence
Approximate Bayesian inference in spatial GLMM with skew normal latent variables
On nonparametric local inference for density estimation
A hybrid EM approach to spatial clustering