yusuke1997/dblp-id-title huggingface dataset:
Recalibration: A post-processing method for approximate Bayesian computation
Sample size calculation for non-compliance randomized trials with repeated measurements in binary data
Serial dependence of NDARMA processes
Variables selection using L0 penalty
A double Pólya-Gamma data augmentation scheme for a hierarchical Negative Binomial - Binomial data model
Signed sequential rank CUSUMs
A nonparametric approach to weighted estimating equations for regression analysis with missing covariates
Fuzzy unsupervised classification of multivariate time trajectories with the Shannon entropy regularization
Sample size, lag order and critical values of seasonal unit root tests
Influence analyses of skew-normal/independent linear mixed models
Non-iterative sampling-based Bayesian methods for identifying changepoints in the sequence of cases of Haemolytic uraemic syndrome
Convergent stochastic Expectation Maximization algorithm with efficient sampling in high dimension. Application to deformable template model estimation
Finding groups in structural equation modeling through the partial least squares algorithm
Testing the equality of a large number of normal population means
Local influence assessment in heteroscedastic measurement error models
A new two-stage multiple comparison procedure for comparing several exponential populations with a control under heteroscedasticity
Computing c-optimal experimental designs using the simplex method of linear programming
Sample size calculation for comparing time-averaged responses in k-group repeated-measurement studies
A genetic estimation algorithm for parameters of stochastic ordinary differential equations
Multivariate functional response regression, with application to fluorescence spectroscopy in a cervical pre-cancer study
Adaptive-to-sub-null testing for mediation effects in structural equation models
Scale space multiresolution analysis of random signals
Neighborhood-based cross fitting approach to treatment effects with high-dimensional data
A semi-parametric estimation method for the quantile spectrum with an application to earthquake classification using convolutional neural network
On cross-distance selection algorithm for hybrid sufficient dimension reduction
Cross-sectional design with a short-term follow-up for prognostic imaging biomarkers
Test of independence in a 2×2 contingency table with nonignorable nonresponse via constrained EM algorithm
A new sliced inverse regression method for multivariate response
An efficient methodology for modeling complex computer codes with Gaussian processes
An algorithm for computing estimators that optimize step functions
Approximate Bayesian inference for large spatial datasets using predictive process models
Center-within-trial versus trial-level evaluation of surrogate endpoints
Statistical inference for population quantiles and variance in judgment post-stratified samples
Smooth conditional distribution estimators using Bernstein polynomials
Principal component analysis for zero-inflated compositional data
Factor estimation using MCMC-based Kalman filter methods
An additive penalty P P-Spline approach to derivative estimation
Temporal aggregation, systematic sampling, and the Hodrick-Prescott filter
Series of randomized complete block experiments with non-normal data
Applications of unbiased perturbations towards quantifying robustness with pragmatic geometric methods
Similarity analysis in Bayesian random partition models
Testing linear independence in linear models with interval-valued data
A least squares-type density estimator using a polynomial function
Robust estimators under a functional common principal components model
Optimal confidence interval for the largest mean of correlated normal populations and its application to stock fund evaluation
Statistical aspects of multilayer perceptrons under data limitations
EM-type algorithms for computing restricted MLEs in multivariate normal distributions and multivariate t-distributions
Robust estimation of the parameters of g-and -h distributions, with applications to outlier detection
Statistical inference for equivalence trials with ordinal responses: A latent normal distribution approach
Variational Bayesian inference for bipartite mixed-membership stochastic block model with applications to collaborative filtering
Mixtures of generalized hyperbolic distributions and mixtures of skew-t distributions for model-based clustering with incomplete data
Likelihood-type confidence regions for optimal sensitivity and specificity of a diagnostic test
A flexible zero-inflated model to address data dispersion
Trimmed L-moments
Mixture modeling with applications in schizophrenia research
Covariance matrix estimation for left-censored data
Erratum to "Point and interval estimation for the two-parameter Birnbaum-Saunders distribution based on Type-II censored samples": [Computational Statistics & Data Analysis 50 (2006) 3222-3242]
A new class of stochastic EM algorithms. Escaping local maxima and handling intractable sampling
A half-region depth for functional data
Estimation methods for multivariate Tobit confirmatory factor analysis
Financial conditions and nonlinearities in the European Central Bank (ECB) reaction function: In-sample and out-of-sample assessment
Polynomial Trendline function flaws in Microsoft Excel
Standardization of interval symbolic data based on the empirical descriptive statistics
Robust weighted kernel logistic regression in imbalanced and rare events data
Model averaging for linear mixed models via augmented Lagrangian
Estimating a graphical intra-class correlation coefficient (GICC) using multivariate probit-linear mixed models
A multiple imputation approach to the analysis of clustered interval-censored failure time data with the additive hazards model
Prediction intervals for integrals of Gaussian random fields
Safe sample screening rules for multicategory angle-based support vector machines
Confidence intervals for the difference between two means
Vertex nomination: The canonical sampling and the extended spectral nomination schemes
Efficient parallelisation of Metropolis-Hastings algorithms using a prefetching approach
Pairwise distance-based tests for conditional symmetry
Dimension reduction in functional regression with applications
Factor-based comparison of groups of curves
Trimming influential observations for improved single-index model estimated sufficient summary plots
An enhanced sign test for dependent binary data with small numbers of clusters
Analytic and bootstrap approximations of prediction errors under a multivariate Fay-Herriot model
Model-free two-sample test for network-valued data
Empirical likelihood in a partially linear single-index model with censored response data
Bias-corrected Kullback-Leibler distance criterion based model selection with covariables missing at random
Censored depth quantiles
A simple approach for local and global variable importance in nonlinear regression models
Bayesian computing with INLA: New features
Simulation smoothing for state-space models: A computational efficiency analysis
Relevance measures for subset variable selection in regression problems based on k
Hypothesis testing of varying coefficients for regional quantiles
On Moran's | coefficient under heterogeneity
Most powerful rank tests for perfect rankings
Modified moment estimation for the two-parameter Birnbaum-Saunders distribution
Bayesian piecewise mixture model for racial disparity in prostate cancer progression
Small area estimation of the Gini concentration coefficient
A particle-learning-based approach to estimate the influence matrix of online social networks
Destructive weighted Poisson cure rate models with bivariate random effects: Classical and Bayesian approaches
A computationally efficient method for nonlinear mixed-effects models with nonignorable missing data in time-varying covariates
Empirical likelihood based diagnostics for heteroscedasticity in partial linear models
A data-augmentation method for infectious disease incidence data from close contact groups
Optimizing two-level orthogonal arrays for simultaneously estimating main effects and pre-specified two-factor interactions
Model checks for functional linear regression models based on projected empirical processes
Gaussian processes and limiting linear models
Model based on skew normal distribution for square contingency tables with ordinal categories
Binary trees for dissimilarity data
Identifying connected components in Gaussian finite mixture models for clustering
Theoretical framework for local PLS1 regression, and application to a rainfall data set
Small area estimation using a nonparametric model-based direct estimator
Fast estimation of posterior probabilities in change-point analysis through a constrained hidden Markov model
Logrank-type tests for comparing survival curves with interval-censored data
Spatial point process models for location-allocation problems
A computational strategy for doubly smoothed MLE exemplified in the normal mixture model
Nonparametric estimation of the regression function from quantized observations
'Nearly' universally optimal designs for models with correlated observations
Nonparametric density estimation of streaming data using orthogonal series
Bandwidth selection for backfitting estimation of semiparametric additive models: A simulation study
Analyzing longitudinal clinical trial data with nonignorable missingness and unknown missingness reasons
A score-based threshold effect test in time series models
Markov chain Monte Carlo sampling using a reservoir method
Objective Bayesian analysis of accelerated competing failure models under Type-I censoring
Time-efficient estimation of conditional mutual information for variable selection in classification
Comparison of exact parametric tests for high-dimensional data
Influence diagnostics in nonlinear mixed-effects elliptical models
CSDA Special Issues
Volatility forecasting using threshold heteroskedastic models of the intra-day range
Comparison of methodologies to assess the convergence of Markov chain Monte Carlo methods
Estimating random-intercept models on data streams
Internal validation inferences of significant genomic features in genome-wide screening
A class of inference procedures for validating the generalized Koziol-Green model with recurrent events
Generalized additive models and inflated type I error rates of smoother significance tests
Bootstrap prediction intervals for Markov processes
On the optimal binary classifier with an application
Comparing conditional survival functions with missing population marks in a competing risks model
Goodness-of-fit tests for modeling longitudinal ordinal data
M-regression, false discovery rates and outlier detection with application to genetic association studies
Inference for negativist theory using numerically computed rejection regions
A Markov decision process for response-adaptive randomization in clinical trials
Bootstrap and fast double bootstrap tests of cointegration rank with financial time series
A systematic comparison of methods for combining p
The Bayesian method for causal discovery of latent-variable models from a mixture of experimental and observational data
The Bayesian Additive Classification Tree applied to credit risk modelling
Generalized nonlinear models and variance function estimation
The Split-SV model
Specification tests in semiparametric transformation models - A multiplier bootstrap approach
Testing the equality of several covariance functions for functional data: A supremum-norm based test
Compound Poisson INAR(1) processes: Stochastic properties and testing for overdispersion
Multiclass-penalized logistic regression
Generalized partially linear regression with misclassified data and an application to labour market transitions
Model-based methods to identify multiple cluster structures in a data set
New criteria for robust integer-valued designs in linear models
Introduction to face recognition and evaluation of algorithm performance
Variable selection for high dimensional Gaussian copula regression model: An adaptive hypothesis testing procedure
Convex relaxation for IMSE optimal design in random-field models
Estimating baseline distribution in proportional hazards cure models
Model based clustering of customer choice data
Minimum distance estimation of GARCH(1, 1) models
Fast algorithm for nonparametric arbitrage-free SPD estimation
Efficient algorithms for computing the best subset regression models for large-scale problems
Generalized biplots for stress-based multidimensionally scaled projections
Bayes shrinkage estimation for high-dimensional VAR models with scale mixture of normal distributions for noise
A mixed effects log-linear model based on the Birnbaum-Saunders distribution
A family of tests to detect misspecifications in the random-effects structure of generalized linear mixed models
Group symmetric Latin hypercube designs for symmetrical global sensitivity analysis
Multivariate methods using mixtures: Correspondence analysis, scaling and pattern-detection
Extracting common pulse-like signals from multiple ice core time series
Fast robust estimation of prediction error based on resampling
Fast multivariate empirical cumulative distribution function with connection to kernel density estimation
Statistical functions and procedures in IDL 5.6 and 6.0
Bayesian testing for non-linearity in volatility modeling
Maximum likelihood kernel density estimation: On the potential of convolution sieves
Conditional quantile estimation based on optimal quantization: From theory to practice
Fitting mixtures of von Mises distributions: a case study involving sudden infant death syndrome
Spatio-temporal generalized complex covariance models based on convolution
Automatic bandwidth selection for circular density estimation
Sieve maximum likelihood estimation for the proportional hazards model under informative censoring
Multiobjective optimization of expensive-to-evaluate deterministic computer simulator models
Efficient Gibbs sampling for Markov switching GARCH models
Alternating imputation posterior estimation of models with crossed random effects
Measuring model misspecification: Application to propensity score methods with complex survey data
A dual latent class unfolding model for two-way two-mode preference rating data
Corrigendum to "Robust smoothing of gridded data in one and higher dimensions with missing values" [Comput. Statist. Data Anal. 54 (2010) 1167-1178]
Efficient regularized estimation of graphical proportional hazards model with interval-censored data
Comparison of curves based on a Cramér-von Mises statistic
GMM estimation of fixed effects partially linear additive SAR model with space-time correlated disturbances
Dimension-reduced semiparametric estimation of distribution functions and quantiles with nonignorable nonresponse
A data cloning algorithm for computing maximum likelihood estimates in spatial generalized linear mixed models
Depth-based nonparametric description of functional data, with emphasis on use of spatial depth
Diagnostics for skew-normal nonlinear regression models with AR(1) errors
The random projection method in goodness of fit for functional data
Bayesian inference for an item response model for modeling test anxiety
Robust growth mixture models with non-ignorable missingness: Models, estimation, selection, and application
Variable selection for high-dimensional genomic data with censored outcomes using group lasso prior
Tests and diagnostics for heterogeneity in the species problem
On estimation and influence diagnostics for the Grubbs' model under heavy-tailed distributions
Univariate statistical analysis with fuzzy data
Distributed adaptive Huber regression
Non-inferiority testing for risk ratio, odds ratio and number needed to treat in three-arm trial
Cluster analysis using multivariate normal mixture models to detect differential gene expression with microarray data
Functional time series model identification and diagnosis by means of auto- and partial autocorrelation analysis
A nonparametric feature screening method for ultrahigh-dimensional missing response
Inference on zero inflated ordinal models with semiparametric link
A comparison of design and model selection methods for supersaturated experiments
Two-way Bayesian hierarchical phylogenetic models: An application to the co-evolution of gp120 and gp41 during and after enfuvirtide treatment
On the Fernández-Steel distribution: Inference and application
A novel relative entropy-posterior predictive model checking approach with limited information statistics for latent trait models in sparse 2 k contingency tables
Latent profile analysis with nonnormal mixtures: A Monte Carlo examination of model selection using fit indices
Using subspace algorithm cointegration analysis: Simulation performance and application to the term structure
A test for equality of two distributions via jackknife empirical likelihood and characteristic functions
Parameter change tests for ARMA-GARCH models
Analysis of multivariate survival data with Clayton regression models under conditional and marginal formulations
Semiparametric estimation for linear regression with symmetric errors
Sequentially Constrained Monte Carlo
A mixture model approach for the analysis of small exploratory microarray experiments
Dimension reduction via principal variables
LogitBoost autoregressive networks
An algorithmic framework for generating optimal two-stratum experimental designs
Very accurate posterior approximations based on finite mixtures of the hyperparameters conditionals
Dual-semiparametric regression using weighted Dirichlet process mixture
Weighted particle tempering
Distance-based parametric bootstrap tests for clustering of species ranges
Bootstrap approach to the multi-sample test of means with imprecise data
Asymptotic expansion of the sample correlation coefficient under nonnormality
Testing the martingale difference hypothesis using integrated regression functions
Special Issue on Nonlinear Modelling and Financial Econometrics
Computational issues of generalized fiducial inference
The Fisher effect in the presence of time-varying coefficients
Graphing Kendall's tau
A hierarchical Bayes model for biomarker subset effects in clinical trials
Correlated destructive generalized power series cure rate models and associated inference with an application to a cutaneous melanoma data
Nonparametric variable selection and classification: The CATCH algorithm
Regression with response distributions of Pareto-type
On the estimation of the linear relation when the error variances are known
Modeling rate of adaptive trait evolution using Cox-Ingersoll-Ross process: An Approximate Bayesian Computation approach
Principal weighted least square support vector machine: An online dimension-reduction tool for binary classification
Smoothing survival densities in practice
Visualizations for assessing convergence and mixing of Markov chain Monte Carlo simulations
Implementing a class of structural change tests: An econometric computing approach
A nonparametrically corrected likelihood for Bayesian spectral analysis of multivariate time series
Statistical designs for two-color microarray experiments involving technical replication
Stationary bootstrap for kernel density estimators under Ψ-weak dependence
Comparison of nonnested asymmetric heteroskedastic models
Sparse seemingly unrelated regression modelling: Applications in finance and econometrics
Comparison among run order algorithms for sequential factorial experiments
A novel method of marginalisation using low discrepancy sequences for integrated nested Laplace approximations
The design of optimum component test plans for system reliability
Time series graphical lasso and sparse VAR estimation
A bootstrap goodness of fit test for the generalized Pareto distribution
Robust direction estimation in single-index models via cumulative divergence
Nonparametric kernel density estimation near the boundary
Mixtures of equispaced normal distributions and their use for testing symmetry with univariate data
Optimizing design of two-stage experiments for transcriptional profiling
Fitting large-scale structured additive regression models using Krylov subspace methods
Hierarchical clustering of continuous variables based on the empirical copula process and permutation linkages
T-optimal discriminating designs for Fourier regression models
Robust Bayesian analysis of heavy-tailed stochastic volatility models using scale mixtures of normal distributions
A pairwise likelihood approach for longitudinal data with missing observations in both response and covariates
Imputing missing values in unevenly spaced clinical time series data to build an effective temporal classification framework
New formulations for recursive residuals as a diagnostic tool in the fixed-effects linear model with design matrices of arbitrary rank
Analysis of space-time relational data with application to legislative voting
Robust ANalysis Of VAriance: An approach based on the Forward Search
Data-driven model checking for errors-in-variables varying-coefficient models with replicate measurements
Generalized extreme value distribution with time-dependence using the AR and MA models in state space form
FIM for Arnold and Strauss's bivariate gamma distribution
Comparing non-stationary and irregularly spaced time series
Regularized linear and kernel redundancy analysis
Nonparametric Bayesian inference for the spectral density based on irregularly spaced data
Block wild bootstrap-based CUSUM tests robust to high persistence and misspecification
Correlation between graphs with an application to brain network analysis
An application of the TRAMO-SEATS automatic procedure; direct versus indirect adjustment
Analysis of K sets of data, with differential emphasis on agreement between and within sets
Asymptotic properties of the EM algorithm estimate for normal mixture models with component specific variances
Mixed model regression mapping for QTL detection in experimental crosses
A compound class of Weibull and power series distributions
Nonparametric estimation of the mixing distribution in logistic regression mixed models with random intercepts and slopes
Fast fitting of joint models for longitudinal and event time data using a pseudo-adaptive Gaussian quadrature rule
Finding Dantzig selectors with a proximity operator based fixed-point algorithm
Intradaily dynamic portfolio selection
Robust model selection with flexible trimming
On efficient estimation in additive hazards regression with current status data
A new family of life distributions for dependent data: Estimation
Exact statistical power for response adaptive designs
Simulated minimum Hellinger distance estimation of stochastic volatility models
A powerful FDR control procedure for multiple hypotheses
Optimal reduction of a spatial monitoring grid: Proposals and applications in process control
The complexity of computation and approximation of the t-ratio over one-dimensional interval data
Online graph topology learning from matrix-valued time series
New algorithms for dating the business cycle
On progressively censored competing risks data for Weibull distributions
Unsupervised image segmentation with Gaussian Pairwise Markov Fields
SAS macros for confidence interval estimation for CHD risk prediction by different survival models
Testing general hypotheses under binomial sampling: the two sample case - asymptotic theory and exact procedures
Robust distances for outlier-free goodness-of-fit testing
Model selection for time series of count data
Transformations for semi-continuous data
Rank-based sequential feature selection for high-dimensional accelerated failure time models with main and interaction effects
A debiasing phylogenetic tree-assisted regression model for microbiome data
An impartial trimming algorithm for robust circle fitting
Identifying outliers using multiple kernel canonical correlation analysis with application to imaging genetics
Comparison of estimates using record statistics from Weibull model: Bayesian and non-Bayesian approaches
Estimating smooth distribution function in the presence of heteroscedastic measurement errors
Robust estimation for survival partially linear single-index models