yusuke1997/dblp-id-title huggingface dataset:
Optimal design for p-value consistent step-up procedures for multiple comparisons with a control in direction-mixed families
Modelling and forecasting wind speed intensity for weather risk management
A combined likelihood ratio/information ratio bootstrap technique for estimating the number of components in finite mixtures
Automatic monitoring and intervention in multivariate dynamic linear models
Robust tests for scatter separability beyond Gaussianity
Variance estimation of survey estimates calibrated on estimated control totals - An application to the extended regression estimator and the regression composite estimator
Alternative approaches to implementing Lagrange multiplier tests for serial correlation in dynamic regression models
Model diagnostic plots for repeated measures data using the generalized estimating equations approach
A bootstrap test for equality of variances
Practical representations of incomplete probabilistic knowledge
A generative model for rank data based on insertion sort algorithm
Estimation of the proportion ratio under a simple crossover trial
Weighted kappa statistic for clustered matched-pair ordinal data
Efficient importance sampling for ML estimation of SCD models
Modelling nonlinearities and heavy tails via threshold normal mixture GARCH models
Regression correlation coefficient for a Poisson regression model
Asymptotic distribution of likelihood ratio test statistics for variance components in nonlinear mixed effects models
Mixture of two inverse Weibull distributions: Properties and estimation
Seasonal ARIMA models with a random period
Minimum disparity computation via the iteratively reweighted least integrated squares algorithms
Testing the link when the index is semiparametric - a comparative study
An example of a misclassification problem applied to Australian equity data
On tests of independence based on minimum phi
Sample size determination for paired right-censored data based on the difference of Kaplan-Meier estimates
Penalized cluster analysis with applications to family data
Reversible Jump MCMC in mixtures of normal distributions with the same component means
Comparison of semiparametric maximum likelihood estimation and two-stage semiparametric estimation in copula models
The quantile probability model
An unscented Kalman smoother for volatility extraction: Evidence from stock prices and options
The quality control chart for monitoring multivariate autocorrelated processes
Testing homogeneity of risk difference in stratified randomized trials with noncompliance
Maximum likelihood estimation and model comparison of nonlinear structural equation models with continuous and polytomous variables
Regression of a data matrix on descriptors of both its rows and of its columns via latent variables: L-PLSR
On generalised asymmetric stochastic volatility models
Combined Procrustes analysis and PLSR for internal and external mapping of data from multiple sources
Corrected Mallows criterion for model averaging
Model checking for regressions: An approach bridging between local smoothing and global smoothing methods
Random and fuzzy sets in coarse data analysis
Classification by ensembles from random partitions of high-dimensional data
Hybrid censoring: Models, inferential results and applications
Multivariate least-trimmed squares regression estimator
Permutation test for incomplete paired data with application to cDNA microarray data
Some extensions of Langenberg model for clinical trials with delayed observations normally distributed responses
An extended variable inclusion and shrinkage algorithm for correlated variables
Best linear near unbiased estimation for nonlinear signal models via semi-infinite programming approach
Empirical Gittins index strategies with ε -explorations for multi-armed bandit problems
Using capture-recapture data and hybrid Monte Carlo sampling to estimate an animal population affected by an environmental catastrophe
Bayesian inference for conditional copulas using Gaussian Process single index models
An algorithmic approach to constructing mixed-level orthogonal and near-orthogonal arrays
Estimating the diffusion coefficient function for a diversified world stock index
A Dirichlet process mixture model for the analysis of correlated binary responses
A three-way clusterwise multidimensional unfolding procedure for the spatial representation of context dependent preferences
Robust centroid method
Estimation of incident dynamic AUC in practice
Sparse regularized local regression
The univariate MT-STAR model and a new linearity and unit root test procedure
Variable screening based on Gaussian Centered L-moments
Total Least Squares and Errors-in-variables Modeling
Multivariate factorizable expectile regression with application to fMRI data
TA algorithms for D-optimal OofA Mixture designs
Conformal prediction bands for two-dimensional functional time series
Nearest neighbors weighted composite likelihood based on pairs for (non-)Gaussian massive spatial data with an application to Tukey- hh random fields estimation
Empirical and kernel estimation of covariate distribution conditional on survival time
Power comparisons for an improved disease clustering test
Mean field variational Bayesian inference for nonparametric regression with measurement error
Varying-coefficient hidden Markov models with zero-effect regions
Special Issue on Statistical Algorithms and Software
Integral approximations for computing optimum designs in random effects logistic regression models
Mixture analysis of multivariate categorical data with covariates and missing entries
Model selection and model averaging after multiple imputation
Neighbourhood GMM estimation of dynamic panel data models
A new skew generalization of the normal distribution: Properties and applications
Semi-parametric marginal models for hierarchical data and their corresponding full models
On second order efficient robust inference
A unifying approach to the shape and change-point hypotheses in the discrete univariate exponential family
A data-adaptive methodology for finding an optimal weighted generalized Mann-Whitney-Wilcoxon statistic
A practical approximation algorithm for the LMS line estimator
The jackknife's edge: Inference for censored regression quantiles
A new class of independence tests for interval forecasts evaluation
Quasi-Monte Carlo estimation in generalized linear mixed models
3D visual data mining - goals and experiences
A variant of the Cox algorithm for the imputation of non-response of qualitative data
Indirect density estimation using the iterative Bayes algorithm
Testing for the validity of the assumptions in the exponential step-stress accelerated life-testing model
Assessment of two approximation methods for computing posterior model probabilities
Online EM algorithm for mixture with application to internet traffic modeling
Modeling laboratory data from clinical trials
BLUP in the nested panel regression model with serially correlated errors
The latent topic block model for the co-clustering of textual interaction data
Robust template estimation for functional data with phase variability using band depth
Variable selection in finite mixture of regression models with an unknown number of components
Boosting nonlinear additive autoregressive time series
On the ratio of logistic random variables
Inference for biased transformation models
Principal Component Analysis of symmetric fuzzy data
Construction of new skew Hadamard matrices and their use in screening experiments
Robust estimation and variable selection in sufficient dimension reduction
Bayesian functional joint models for multivariate longitudinal and time-to-event data
Fitting semiparametric cure models
Size and power of tests for a zero random effect variance or polynomial regression in additive and linear mixed models
Approximation of powers of some tests in one-way MANOVA type multivariate generalized linear model
A measure of association for complex data
Exploratory tools for clustering multivariate data
Fitting very large sparse Gaussian graphical models
Improved distributed particle filters for tracking in a wireless sensor network
Constant-partially accelerated life tests for Burr type-XII distribution with progressive type-II censoring
Most mean powerful test of a composite null against a composite alternative
Partially observed functional data: The case of systematically missing parts
Generalized linear mixed model with a penalized Gaussian mixture as a random effects distribution
Avoiding bias due to perfect prediction in multiple imputation of incomplete categorical variables
Goodness-of-fit tests for logistic regression models when data are collected using a complex sampling design
A three-state recursive sequential Bayesian algorithm for biosurveillance
Detecting influential observations in principal components and common principal components
A stickiness coefficient for longitudinal data
Inference for longitudinal data with nonignorable nonmonotone missing responses
Semiparametric analysis of randomized response data with missing covariates in logistic regression
Learned-loss boosting
The LASSO on latent indices for regression modeling with ordinal categorical predictors
Bayesian multi-regime smooth transition regression with ordered categorical variables
Block-wise primal-dual algorithms for large-scale doubly penalized ANOVA modeling
A cluster analysis of vote transitions
A hot deck imputation procedure for multiply imputing nonignorable missing data: The proxy pattern-mixture hot deck
New EM-type algorithms for the Heckman selection model
Sparse wavelet estimation in quantile regression with multiple functional predictors
Numerical implementation of the QuEST function
Special Issue on Statistical and Computational Methods in Finance
Airflow recovery from thoracic and abdominal movements using synchrosqueezing transform and locally stationary Gaussian process regression
Statistical inference for the geometric distribution based on δ-records
Dimensionality reduction approach to multivariate prediction
Testing error heterogeneity in censored linear regression
Automated variable selection in vector multiplicative error models
Approximating the distributions of estimators of financial risk under an asymmetric Laplace law
On the combination of transmission/disequilibrium test and mean test for linkage detection using affected sib pairs
Erratum to: "On simulating Balakrishnan skew-normal variates" by Mahdi Teimouri and Saralees Nadarajah [Computational Statistics & Data Analysis 57 (2013) 52-58]
Testing for ellipsoidal symmetry: A comparison study
Generalized endpoint-inflated binomial model
Semiparametric estimation of a nested random effects model for the analysis of multi-level clustered failure time data
Drug risk assessment with determining the number of sub-populations under finite mixture normal models
Bayesian nonparametric clustering as a community detection problem
Heterogeneous Treatment Effect-based Random Forest: HTERF
Implementing Bayesian predictive procedures: The K-prime and K-square distributions
f-SAEM: A fast stochastic approximation of the EM algorithm for nonlinear mixed effects models
Cluster Forests
Fast estimation algorithm for likelihood-based analysis of repeated categorical responses
Boosting and instability for regression trees
Indirect estimation of elliptical stable distributions
Inference for a generalised stochastic block model with unknown number of blocks and non-conjugate edge models
An extended redundancy analysis and its applications to two practical examples
Joint segmentation of multivariate Gaussian processes using mixed linear models
On selecting interacting features from high-dimensional data
An alternative objective function for fitting regression trees to functional response variables
Robust groupwise least angle regression
Seeking structure in records of spatio-temporal behaviour: visualization issues, efforts and applications
On a family of two-piece circular distributions
Generating random variates from PDF of Gauss-Markov processes with a reflecting boundary
A software framework for data analysis
Composite likelihood inference by nonparametric saddlepoint tests
Discretization-based direct random sample generation
Estimation in the three-parameter inverse Gaussian distribution
A Bayesian goodness-of-fit test for regression
Separable linear discriminant analysis
Non-area-specific adjustment factor for second-order efficient empirical Bayes confidence interval
Nonparametric density estimation and clustering in astronomical sky surveys
Bayesian proportional hazards model for current status data with monotone splines
Multivariate mixture modeling using skew-normal independent distributions
Construction of symmetric orthogonal designs with deep Q-network and orthogonal complementary design
Conditional confidence intervals for classification error rate
A new test for functional one-way ANOVA with applications to ischemic heart screening
Sparse vertex discriminant analysis: Variable selection for biomedical classification applications
Functional factorial K-means analysis
Model based bootstrap methods for interval censored data
Bayesian functional graphical models with change-point detection
Saddlepoint approximation for semi-Markov processes with application to a cardiovascular randomised study
Sparse Tucker2 analysis of three-way data subject to a constrained number of zero elements in a core array
Simulation-based fully Bayesian experimental design for mixed effects models
The third special issue on Statistical Signal Extraction and Filtering
Variable selection in general multinomial logit models
High dimensional regression for regenerative time-series: An application to road traffic modeling
Small area prediction of counts under machine learning-type mixed models
Bayesian inference and prediction of the inverse Weibull distribution for Type-II censored data
Mixtures of experts for understanding model discrepancy in dynamic computer models
Bayesian multiple response kernel regression model for high dimensional data and its practical applications in near infrared spectroscopy
A flexible factor analysis based on the class of mean-mixture of normal distributions
Improved interval estimation for the two-parameter Birnbaum-Saunders distribution
Mixtures of Gaussian wells: Theory, computation, and application
Nonparametric tests for panel count data with unequal observation processes
Optimal designs for comparing regression models with correlated observations
Semiparametric models for capture-recapture studies with covariates
Identification of microbial features in multivariate regression under false discovery rate control
Poisson mixed models for studying the poverty in small areas
Comparing measures of model selection for penalized splines in Cox models
On estimation of a heteroscedastic measurement error model under heavy-tailed distributions
Robust estimation for vector autoregressive models
Inverse boosting for monotone regression functions
Estimation of the income distribution and detection of subpopulations: An explanatory model
A nonparametric procedure for blind image deblurring
Two simple algorithms on linear combination of multiple biomarkers to maximize partial area under the ROC curve
Geoadditive expectile regression
Approximation error approach in spatiotemporally chaotic models with application to Kuramoto-Sivashinsky equation
Choice of B-splines with free parameters in the flexible discriminant analysis context
Generative models for functional data using phase and amplitude separation
A methodology for measuring latent variables based on multiple factor analysis
Detection of outliers in longitudinal count data via overdispersion
Configural frequency analysis and association analyses in contingency tables
Distribution and percentage points of the likelihood ratio statistic for testing circular symmetry
Strong convergence rate of estimators of change point and its application
Partially linear transformation cure models for interval-censored data
Maximum entropy and least square error minimizing procedures for estimating missing conditional probabilities in Bayesian networks
An alternating determination-optimization approach for an additive multi-index model
Local polynomial estimation in partial linear regression models under dependence
K-bMOM: A robust Lloyd-type clustering algorithm based on bootstrap median-of-means
Cobra: A package for co-breaking analysis
An improved confidence interval for a linear function of binomial proportions
The asymptotic convexity of the negative likelihood function of GARCH models
Decrement rates and a numerical method under competing risks
Validation of community robustness
Derived components regression using the BACON algorithm
Searching for a common pooling pattern among several samples
Compromise design for combination experiment of two drugs
Some copula inference procedures adapted to the presence of ties
Principal component analysis for data containing outliers and missing elements
Modelling high-dimensional data by mixtures of factor analyzers
Feature screening for ultrahigh dimensional categorical data with covariates missing at random
A visual display device for significant features in complicated signals
Generalized confidence interval for the scale parameter of the power-law process with incomplete failure data
A semiparametric hypothesis testing procedure for the ROC curve area under a density ratio model
Bandwidth selection for a class of difference-based variance estimators in the nonparametric regression: A possible approach
A smoothed bootstrap test for independence based on mutual information
Transformed contribution ratio test for the number of factors in static approximate factor models
Robust online signal extraction from multivariate time series
Bayesian predictive monitoring with bivariate binary outcomes in phase II clinical trials
Non-parametric analysis of serial dependence in time series using ordinal patterns
Computational statistics within clinical research
Bayesian network data imputation with application to survival tree analysis
Biased estimation in a simple multivariate regression model
Computing the distribution of quadratic forms: Further comparisons between the Liu-Tang-Zhang approximation and exact methods
Statistical inference for the common mean of two log-normal distributions and some applications in reliability
Statistical inference for inter-arrival times of extreme events in bursty time series
Fixed-effects modeling of Cohen's weighted kappa for bivariate multinomial data
Distributed evolutionary Monte Carlo for Bayesian computing
Computation of quantile sets for bivariate ordered data
A diagnostic method for simultaneous feature selection and outlier identification in linear regression
New efficient algorithms for multiple change-point detection with reproducing kernels
Weighted empirical likelihood estimates and their robustness properties
Estimating the mixing proportion in a semiparametric mixture model
On partial least squares dimension reduction for microarray-based classification: a simulation study
On a spiked model for large volatility matrix estimation from noisy high-frequency data
Efficient semiparametric estimation via Cholesky decomposition for longitudinal data
Detecting local regions of change in high-dimensional criminal or terrorist point processes
Choosing cross-over designs when few subjects are available
Response adaptive designs for Phase II trials with binary endpoint based on context-dependent information measures
An improved mean estimator for judgment post-stratification
Computational aspects of algorithms for variable selection in the context of principal components
Information matrices for Laplace and Pareto mixtures
On the efficacy of higher-order spectral clustering under weighted stochastic block models
Wavelet testing for a replicate-effect within an ordered multiple-trial experiment
An efficient ADMM algorithm for high dimensional precision matrix estimation via penalized quadratic loss
Laplace approximated quasi-likelihood method for heteroscedastic survival data
Bayesian analysis of the patterns of biological susceptibility via reversible jump MCMC sampling
Semiparametric double robust and efficient estimation for mean functionals with response missing at random
Control chart based on likelihood ratio for monitoring linear profiles
Laplace mixture of linear experts
Bayesian models for two-sample time-course microarray experiments
An R package for implementing simulations for seamless phase II/III clinical trials using early outcomes for treatment selection
Empirical likelihood calibration estimation for the median treatment difference in observational studies
Model-based clustering for covariance matrices via penalized Wishart mixture models
A general class of zero-or-one inflated beta regression models
Clustering multivariate functional data using unsupervised binary trees
The choice of the number of bins for the M statistic
Statistical inference for geometric processes with gamma distributions
Bayes estimation for the Marshall-Olkin bivariate Weibull distribution
On bandwidth selection using minimal spanning tree for kernel density estimation
The beta generalized half-normal distribution
User interaction at various levels of data displays
Fuzzy data treated as functional data: A one-way ANOVA test approach
Matching and clustering in square contingency tables. Who matches with whom in the Spanish labour market
Multivariate discount weighted regression and local level models
Sample size for simultaneous testing of rate differences in non-inferiority trials with multiple endpoints
Special issue on Bayesian computing, methods and applications
Score tests for overdispersion in zero-inflated Poisson mixed models
Principal component analysis of measures, with special emphasis on grain-size curves
A scalable and efficient covariate selection criterion for mixed effects regression models with unknown random effects structure
A data-driven test to compare two or multiple time series
Joint analysis of semicontinuous data with latent variables
Modeling vector nonlinear time series using POLYMARS
Estimation of a common slope in a gamma regression model with multiple strata: An empirical Bayes method
Long-term survival models with overdispersed number of competing causes
A wild bootstrap approach for nonparametric repeated measurements
Structured analysis of the high-dimensional FMR model
Self-organizing map visualizing conditional quantile functions with multidimensional covariates
Likelihood-ratio tests for normality
Density estimation on manifolds with boundary
Estimation for the single-index models with random effects
Multidimensional and longitudinal item response models for non-ignorable data
The exact Gaussian likelihood estimation of time-dependent VARMA models
Heterogeneous quantile regression for longitudinal data with subgroup structures
Application of information-theoretic tests for the analysis of DNA sequences based on Markov chain models
Hidden semi-Markov-switching quantile regression for time series
Simultaneous estimation and factor selection in quantile regression via adaptive sup-norm regularization
Taxonomy for characterizing ensemble methods in classification tasks: A review and annotated bibliography
Evaluation of exponentially weighted moving variance control chart subject to linear drifts
Statistical inference for high-dimensional pathway analysis with multiple responses
Minimum distance estimation of locally stationary moving average processes
A nonparametric exponentially weighted moving average signed-rank chart for monitoring location
Multilevel mediation analysis with structured unmeasured mediator-outcome confounding
Bayesian test on equality of score parameters in the order restricted RC association model
Improved biclustering of microarray data demonstrated through systematic performance tests
Kernel ellipsoidal trimming
Semiparametric indirect utility and consumer demand
Confidence bands for the CDF when sampling from a finite population
Testing for homogeneity of relative differences under inverse sampling
Absolute penalty and shrinkage estimation in partially linear models
An even faster algorithm for ridge regression of reduced rank data
Bootstrapping heteroskedastic regression models: wild bootstrap vs. pairs bootstrap