yusuke1997/dblp-id-title huggingface dataset:
DIVCLUS-T: A monothetic divisive hierarchical clustering method
On the estimation of a large sparse Bayesian system: The Snaer program
An EM algorithm for the model fitting of Markovian binary trees
Estimation and hypothesis test for partial linear multiplicative models
Incorporation of gene exchangeabilities improves the reproducibility of gene set rankings
Generalized accelerated hazards mixture cure models with interval-censored data
A 2D wavelet-based multiscale approach with applications to the analysis of digital mammograms
A modified PLS path modeling algorithm handling reflective categorical variables and a new model building strategy
An algorithm for blocking regular fractional factorial 2-level designs with clear two-factor interactions
Semiparametric regression analysis for left-truncated and interval-censored data without or with a cure fraction
Fast computation of robust subspace estimators
Semiparametric GMM estimation and variable selection in dynamic panel data models with fixed effects
Predictive analyses for nonhomogeneous Poisson processes with power law using Bayesian approach
A unifying implementation of stratum (aka strong) orthogonal arrays
Applications on linear spectral statistics of high-dimensional sample covariance matrix with divergent spectrum
The beta-Birnbaum-Saunders distribution: An improved distribution for fatigue life modeling
Optimization in a multivariate generalized linear model situation
A mixture of mixture models for a classification problem: The unity measure error
A new approach for credit scoring by directly maximizing the Kolmogorov-Smirnov statistic
Semiparametric analysis of survival data with left truncation and right censoring
Corrigendum to "Nonparametric multiplicative bias correction for kernel-type density estimation on the unit interval" [Comput. Statist. Data Anal. 54 (2010) 473-495]
A multivariate linear regression analysis using finite mixtures of t distributions
New normalization methods using support vector machine quantile regression approach in microarray analysis
High dimensional Gaussian copula graphical model with FDR control
On fast generation of fractional Gaussian noise
Bayesian analysis of allelic penetrance models for complex binary traits
Type I and type II fractional Brownian motions: A reconsideration
Flexible modelling of random effects in linear mixed models - A Bayesian approach
Likelihood inference in generalized linear mixed models with two components of dispersion using data cloning
On the robust detection of edges in time series filtering
Reducing over-dispersion by generalized degree of freedom and propensity score
A semiparametric accelerated failure time partial linear model and its application to breast cancer
Social networks of author-coauthor relationships
Bootstrapping for highly unbalanced clustered data
Deep distribution regression
Copula in a multivariate mixed discrete-continuous model
A latent slice sampling algorithm
Auxiliary mixture sampling with applications to logistic models
Discrepancy between structured matrices in the power analysis of a separability test
Sums, products, and ratios for the bivariate lomax distribution
Eight test statistics for multilevel structural equation models
Likelihood inference for generalized Pareto distribution
On marginal likelihood computation in change-point models
Cusum techniques for timeslot sequences with applications to network surveillance
Robust and efficient estimation of effective dose
Estimation of the parameters of life for Gompertz distribution using progressive first-failure censored data
Bootstrap hypothesis testing for some common statistical problems: A critical evaluation of size and power properties
Testing predictor significance with ultra high dimensional multivariate responses
Statistical depth for point process via the isometric log-ratio transformation
Two-sample tests of the equality of two cumulative incidence functions
Extensions of simple component analysis and simple linear discriminant analysis using genetic algorithms
An adaptive decorrelation procedure for signal detection
Finding a causal ordering via independent component analysis
Choosing the optimal set of instruments from large instrument sets
A Bayesian semiparametric regression model for reliability data using effective age
Making classifier performance comparisons when ROC curves intersect
Determining sample size to evaluate and compare the accuracy of binary diagnostic tests in the presence of partial disease verification
Isotonic single-index model for high-dimensional database marketing
Bayesian dynamic models for space-time point processes
Bayesian variable selection for logistic mixed model with nonparametric random effects
Multi-aspect permutation tests in shape analysis with small sample size
Robust concentration graph model selection
Arbitrarily shaped multiple spatial cluster detection for case event data
Estimation in linear regression models with measurement errors subject to single-indexed distortion
A generalized correlated C p criterion for derivative estimation with dependent errors
One-sided multiple comparisons for treatment means with a control mean
Survival prediction using gene expression data: A review and comparison
A latent variable model for estimating disease transmission rate from data on household outbreaks
A simple test for a bubble based on growth and acceleration
Initializing the EM algorithm in Gaussian mixture models with an unknown number of components
Combining functions and the closure principle for performing follow-up tests in functional analysis of variance
A new class of defective models based on the Marshall-Olkin family of distributions for cure rate modeling
Bayesian selection approach for categorical responses via multinomial probit models
A bivariate frailty model for events with a permanent survivor fraction and non-monotonic hazards; with an application to age at first maternity
Self-tuning weighted measurement fusion Kalman filtering algorithm
Orthogonal-column Latin hypercube designs with small samples
A new Bayes estimate of the change point in the hazard function
Generalized k-means in GLMs with applications to the outbreak of COVID-19 in the United States
Estimation for mixed exponential distributions under type-II progressively hybrid censored samples
Specification tests for the error distribution in GARCH models
A new and practical influence measure for subsets of covariance matrix sample principal components with applications to high dimensional datasets
Symmetric circular models through duplication and cosine perturbation
Minimum message length estimation using EM methods: a case study
Three-way fuzzy clustering models for LR fuzzy time trajectories
Estimation of reliability in a series system with random sample size
Exceedance control of the false discovery proportion via high precision inversion method of Berk-Jones statistics
Multiple testing procedures for analyzing stratified comparative clinical trials using odds ratios
Analysis of EEG data using optimization, statistics, and dynamical system techniques
Bayesian model determination for multivariate ordinal and binary data
A genetic method of LAD estimation for models with censored data
Model comparison for Gibbs random fields using noisy reversible jump Markov chain Monte Carlo
Constrained spanning tree algorithms for irregularly-shaped spatial clustering
Smooth simultaneous confidence band for the error distribution function in nonparametric regression
A fuzzy representation of random variables: An operational tool in exploratory analysis and hypothesis testing
A Bayesian paradigm for designing intrusion detection systems
Fast estimation of spatially dependent temporal vegetation trends using Gaussian Markov random fields
Bayesian dynamic probit models for the analysis of longitudinal data
On hyperbolic transformations to normality
Efficient sparse high-dimensional linear regression with a partitioned empirical Bayes ECM algorithm
Sequential calibration of options
Improving the convergence rate in conditional autoregressive models
Hypothesis testing in the unrestricted and restricted parametric spaces of structural models
Fast Bayesian model assessment for nonparametric additive regression
Modal regression statistical inference for longitudinal data semivarying coefficient models: Generalized estimating equations, empirical likelihood and variable selection
Hierarchical Bayes multivariate estimation of poverty rates based on increasing thresholds for small domains
Use of SAMC for Bayesian analysis of statistical models with intractable normalizing constants
Degeneracy of the EM algorithm for the MLE of multivariate Gaussian mixtures and dynamic constraints
Identifying cluster number for subspace projected functional data clustering
On summed nonparametric dependence measures in high dimensions, fixed or large samples
Prediction based on conditional distributions of vine copulas
A Bernstein-type estimator for decreasing density with application to p-value adjustments
Resampling methods for variable selection in robust regression
An exact approach to Bayesian sequential change point detection
Efficient importance sampling in mixture frameworks
The Expectation-Maximization approach for Bayesian quantile regression
Robust variance estimation for random effects meta-analysis
Estimating crude cumulative incidences through multinomial logit regression on discrete cause-specific hazards
Model comparison and selection for stationary space-time models
Homogeneity detection for the high-dimensional generalized linear model
Practical simulation and estimation for Gibbs Delaunay-Voronoi tessellations with geometric hardcore interaction
Kernel-based hidden Markov conditional densities
Notes on maximum likelihood estimation for the three-parameter Burr XII distribution
A Bayesian hierarchical model for spatial extremes with multiple durations
Variable selection in AUC-optimizing classification
A Bayesian approach to model-based clustering for binary panel probit models
Variable selection via the composite likelihood method for multilevel longitudinal data with missing responses and covariates
Simultaneous variable selection and estimation for multivariate multilevel longitudinal data with both continuous and binary responses
Detection of unknown computer worms based on behavioral classification of the host
Bayesian nonparametric k-sample tests for censored and uncensored data
Boosted sliced regression for dimension reduction in binary classification
Feature filter for estimating central mean subspace and its sparse solution
An alternating direction method for finding Dantzig selectors
Fitting general stochastic volatility models using Laplace accelerated sequential importance sampling
The isotonic regression approach for an instrumental variable estimation of the potential outcome distributions for compliers
Diagnostic procedures in Birnbaum-Saunders nonlinear regression models
Marginally parameterized spatio-temporal models and stepwise maximum likelihood estimation
Mantel-Haenszel estimators of odds ratios for stratified dependent binomial data
A note on the lack of symmetry in the graphical lasso
Semiparametric accelerated failure time models under unspecified random effect distributions
A regression tree algorithm for the identification of convergence clubs
A modified conditional Metropolis-Hastings sampler
Estimating survival rates using an extended ricker's two-release method
Confidence intervals for an ordinal effect size measure based on partially validated series
Kernel Generalized Canonical Correlation Analysis
Degrees of freedom and model selection for k-means clustering
3rd Special issue on matrix computations and statistics
A divide-and-conquer approach in applying EM for large recursive models with incomplete categorical data
An analysis of the flexibility of Asymmetric Power GARCH models
Ensemble classification of paired data
Confidence intervals for a binomial parameter based on binary data subject to false-positive misclassification
Region-based statistical analysis of 2D PAGE images
Test for the mean of high-dimensional functional time series
Robust weighted LAD regression
Alternative computational formulae for generalized linear model diagnostics: identifying influential observations with SAS software
A stochastic neighborhood conditional autoregressive model for spatial data
Estimating confidence regions over bounded domains
Optimal s
Integrating machine learning and Bayesian nonparametrics for flexible modeling of point pattern data
Assessing the performance of classifiers when classes arise from a continuum
Probability of default estimation in credit risk using mixture cure models
Variable selection in regression models using nonstandard optimisation of information criteria
Covariance structure regularization via entropy loss function
Time-varying joint distribution through copulas
A method of predicting the number of clusters using Rand's statistic
Rank-based tests of cross-sectional dependence in panel data models
Developing a feature weight self-adjustment mechanism for a K-means clustering algorithm
One-stage multiple comparisons with the control for exponential location parameters under heteroscedasticity
Classification of functional data: A segmentation approach
High-dimensional robust regression with L q -loss functions
Use of SVD-based probit transformation in clustering gene expression profiles
Estimating quantiles under sampling on two occasions with arbitrary sample designs
Approximate confidence interval for standard deviation of nonnormal distributions
Robust small sample accurate inference in moment condition models
A comparative analysis of different adjustment sets using propensity score based estimators
Two simple resistant regression estimators
Setting up alternating least squares and iterative majorization algorithms for solving various matrix optimization problems
A simple more general boxplot method for identifying outliers
Performance evaluation of iterative geometric fitting algorithms
Stratified additive Poisson models: Computational methods and applications in clinical epidemiology
Representation of individual differences in rectangular proximity data through anti-Q matrix decomposition
Iterative importance sampling with Markov chain Monte Carlo sampling in robust Bayesian analysis
Bowker's test for symmetry and modifications within the algebraic framework
Tests for validity of the semiparametric heteroskedastic transformation model
Asymmetric v-tube support vector regression
Dimension reduction in principal component analysis for trees
Subgroup causal effect identification and estimation via matching tree
High-dimensional and banded integer-valued autoregressive processes
Familial database search on two-person mixture
Erratum to "Wavelet estimation of partially linear models" [Computational Statistics and Data Analysis 47/1 (2004) 31-48]
Likelihood approximation with hierarchical matrices for large spatial datasets
Change point detection via feedforward neural networks with theoretical guarantees
Existence and uniqueness of relative incidence estimates in case-series analysis
Stacked Laplace-EM algorithm for duration models with time-varying and random effects
Homogenous panel unit root tests under cross sectional dependence: Finite sample modifications and the wild bootstrap
Finite mixture of nonlinear mixed-effects joint models in the presence of missing and mismeasured covariate, with application to AIDS studies
Testing and estimation of purely nonparametric effects in repeated measures designs
Statistical study of asymmetry in cell lineage data
On correlated z-values distribution in hypothesis testing
Improved near-exact distributions for the product of independent Generalized Gamma random variables
Robust nonnegative garrote variable selection in linear regression
Robust regression with compositional covariates
Efficient estimation of the link function parameter in a robust Bayesian binary regression model
Uncertainty estimation with a finite dataset in the assessment of classification models
The effect of the nugget on Gaussian process emulators of computer models
Robustified L 2 boosting
On hybrid methods of inverse regression-based algorithms
Power and Type I error rates of goodness-of-fit statistics for binomial generalized estimating equations (GEE) models
Copula density estimation by total variation penalized likelihood with linear equality constraints
A unified view on lifetime distributions arising from selection mechanisms
Kernel-based machine learning for fast text mining in R
Finite sample multivariate tests of asset pricing models with coskewness
Efficient maximum likelihood estimation of copula based meta t-distributions
Entropy-based sliced inverse regression
Communication-efficient distributed estimator for generalized linear models with a diverging number of covariates
Fixed design local polynomial smoothing and bandwidth selection for right censored data
Order restricted univariate and multivariate inference with adjustment for covariates in partially linear models
Gaussian process hyper-parameter estimation using Parallel Asymptotically Independent Markov Sampling
Estimating negative variance components from Gaussian and non-Gaussian data: A mixed models approach
Cost-efficiency considerations in the choice of a microarray platform for time course experimental designs
An approximate Bayesian approach for quantitative trait loci estimation
Local computations of the iterative proportional scaling procedure for hierarchical models
Entropy coefficient of determination for generalized linear models
Faster ARMA maximum likelihood estimation
Volatility spillovers, interdependence and comovements: A Markov Switching approach
Improved point and interval estimation for a beta regression model
Factor selection in screening experiments by aggregation over random models
Recursive partitioning on incomplete data using surrogate decisions and multiple imputation
Density estimation for spherical data using nonparametric mixtures
Bayesian adaptive bandwidth kernel density estimation of irregular multivariate distributions
Overall and pairwise segregation tests based on nearest neighbor contingency tables
Ranking procedures for matched pairs with missing data - Asymptotic theory and a small sample approximation
Combinatorial individual differences scaling within the city-block metric
Progressively first-failure censored reliability sampling plans with cost constraint
A new estimating equation approach for marginal hazard ratio estimation
A reinvestigation of robust scale estimation in finite samples
Conditional probability and fuzzy information
Feature screening and FDR control with knockoff features for ultrahigh-dimensional right-censored data
Special section on Microsoft Excel 2007
Significance test for semiparametric conditional average treatment effects and other structural functions
Goodness-of-fit tests for the family of multivariate chi-square copulas
Statistical analysis of proficiency testing results under elliptical distributions
Simultaneous curve registration and clustering for functional data
A new algorithm for inference in HMM's with lower span complexity
Generalized beta-generated distributions
Bayesian forecasting of Italian seismicity using the spatiotemporal RETAS model
A SAEM algorithm for fused lasso penalized NonLinear Mixed Effect Models: Application to group comparison in pharmacokinetics
Robust forecasting of mortality and fertility rates: A functional data approach
On quadratic logistic regression models when predictor variables are subject to measurement error
Tests for cointegration with structural breaks based on subsamples
Model selection for discrete regular vine copulas
Online renewable smooth quantile regression
Choosing an appropriate number of factors in factor analysis with incomplete data
A Monte Carlo approach to quantifying model error in Bayesian parameter estimation
A pretest for using logrank or Wilcoxon in the two-sample problem
Iterative proportional scaling via decomposable submodels for contingency tables
Bivariate copula additive models for location, scale and shape
A Bayesian method for simultaneous registration and clustering of functional observations
Multidimensional medians and uniqueness
Bayesian multiscale feature detection of log-spectral densities
CECM: Constrained evidential C-means algorithm
Finding multivariate outliers with FastPCS
Efficient estimation of the mode of continuous multivariate data
Conditional log-linear structures for log-linear modelling
Bayesian clustering of skewed and multimodal data using geometric skewed normal distributions
On simultaneously identifying outliers and heteroscedasticity without specific form
Variational Bayesian approach for analyzing interval-censored data under the proportional hazards model
The cluster graphical lasso for improved estimation of Gaussian graphical models
Supervised classification for functional data: A weighted distance approach
Variable selection in neural network regression models with dependent data: a subsampling approach
Nonparametric density estimation on complex domains using manifold-aware Bayesian additive tree models
A class of semiparametric transformation cure models for interval-censored failure time data
On time series model selection involving many candidate ARMA models
Sandwich algorithms for Bayesian variable selection
Bayesian robust principal component analysis with structured sparse component
Spatial two-stage designs for phase II clinical trials
The Chen-Luo test in case of heteroscedasticity
Ancillarity-sufficiency interweaving strategy (ASIS) for boosting MCMC estimation of stochastic volatility models
Maximum likelihood estimation of triangular and polygonal distributions
Corrigendum to: "Testing homogeneity of risk difference in stratified randomized trials with noncompliance" [Comput. Statist. Data Anal. 53 (2008) 209-221]
Comparative assessment of trial-level surrogacy measures for candidate time-to-event surrogate endpoints in clinical trials
Prediction of deterministic functions: an application of a Gaussian kriging model to a time series outlier problem
Choice of generalized linear mixed models using predictive crossvalidation
Fast cross-validation of high-breakdown resampling methods for PCA
Fast computation of the deviance information criterion for latent variable models
Semiparametric and nonparametric modeling for effect modification in matched studies
Oracle-efficient estimation and trend inference in non-stationary time series with trend and heteroscedastic ARMA error
Modeling epigenetic modifications under multiple treatment conditions
An algorithm for constructing mixed-level k-circulant supersaturated designs
Model-based clustering of censored data via mixtures of factor analyzers
Quantile estimation in two-phase sampling
Discovering and orienting the edges connected to a target variable in a DAG via a sequential local learning approach
Eliciting prior information from clinical trials via calibrated Bayes factor
A log-extended Weibull regression model
Competing risk model with bivariate random effects for clustered survival data
Testing homogeneity for multiple nonnegative distributions with excess zero observations
Bayesian density estimation using skew student-t-normal mixtures
Generalized latent space model for one-mode networks with awareness of two-mode networks
Estimation of graphical models whose conditional independence graphs are interval graphs and its application to modelling linkage disequilibrium
Sequential Bayesian inference for static parameters in dynamic state space models
Improving cross-validated bandwidth selection using subsampling-extrapolation techniques
A hierarchical modeling approach for risk assessment in developmental toxicity studies
Deriving optimal data-analytic regimes from benchmarking studies
The Wasserstein Impact Measure (WIM): A practical tool for quantifying prior impact in Bayesian statistics
Sieve bootstrap t-tests on long-run average parameters
Primal path algorithm for compositional data analysis
Dynamic GSCANO (Generalized Structured Canonical Correlation Analysis) with applications to the analysis of effective connectivity in functional neuroimaging data
Clustering for time-varying relational count data