yusuke1997/dblp-id-title huggingface dataset:
Extracting informative variables in the validation of two-group causal relationship
A memorial for the Late Professor Wolfgang Polasek
A Monte Carlo evaluation of the performance of two new tests for symmetry
Advanced algorithms for penalized quantile and composite quantile regression
Nonparametric CUSUM change-point detection procedures based on modified empirical likelihood
Composite quantile regression for single-index models with asymmetric errors
Generalized spatial beta models for skewed and bimodal proportion data
A partial least squares approach for function-on-function interaction regression
On the performance of block-bootstrap continuously updated GMM for a class of non-linear conditional moment models
Goodness-of-fit for a concentrated von Mises-Fisher distribution
Numerical results concerning a sharp adaptive density estimator
Componentwise adaptation for high dimensional MCMC
Clustering acoustic emission signals by mixing two stages dimension reduction and nonparametric approaches
Efficient resolution and basis functions selection in wavelet regression
Maximum likelihood estimation of parameters for double poisson regression: a simulation study
Estimation of intra-cluster correlation coefficient via the failure of Bartlett's second identity
The impact of EDI on statistical data processing
Empirical evaluation of initial transient deletion rules for the steady-state mean estimation problem
Simulated Maximum Likelihood in Nonlinear Continuous-Discrete State Space Models: Importance Sampling by Approximate Smoothing
Improving the vector (ϵ) acceleration for the EM algorithm using a re-starting procedure
Efficient estimation of a disease prevalence using auxiliary ranks information
On heterogeneous latent class models with applications to the analysis of rating scores
Nonparametric estimation in generalized varying-coefficient models based on iterative weighted quasi-likelihood method
Package mTEXO for testing the presence of outliers in exponential samples
Minimizing variable selection criteria by Markov chain Monte Carlo
Bayesian bridge-randomized penalized quantile regression for ordinal longitudinal data, with application to firm's bond ratings
A hierarchical Bayes approach to adjust for selection bias in before-after analyses of vision zero policies
Influence function-based confidence intervals for the Kendall rank correlation coefficient
Generalized properties for Hanafi-Wold's procedure in partial least squares path modeling
An overview on the shrinkage properties of partial least squares regression
Binary geometric process model for the modeling of longitudinal binary data with trend
Estimating cell probabilities in contingency tables with constraints on marginals/conditionals by geometric programming with applications
An expectation conditional maximization algorithm for the skew-normal based stochastic frontier model
Finding small somatic structural variants in exome sequencing data: a machine learning approach
Penalized marginal likelihood estimation of finite mixtures of Archimedean copulas
Parallel computing in linear mixed models
Likelihood inferences for the link function without knowing the true underlying distributions
Functional regression models with functional response: a new approach and a comparative study
Robust empirical likelihood for partially linear models via weighted composite quantile regression
Distribution-free goodness-of-fit tests for the Pareto distribution based on a characterization
Bayesian survival analysis for adaptive Type-II progressive hybrid censored Hjorth data
Introducing HYBRID and ENSEMBLE: novel nonconvex penalization strategies for robust variable selection under missing data
Comments on: Hierarchical Inference for genome-wide association studies: a view on methodology with software by Paulo C. Rodrigues and Vanda M. Lourenço
Bayesian model-based tight clustering for time course data
A multiple-try Metropolis-Hastings algorithm with tailored proposals
Lag-length selection in VAR-models using equal and unequal lag-length procedures
An object-based graphical user interface for time series analysis
Computational methods for comparing two binary diagnostic tests in the presence of partial verification of the disease
A synthetic likelihood approach for intractable markov random fields
Classical and Bayesian inference in two parameter exponential distribution with randomly censored data
An improvement on the efficiency of complete-case-analysis with nonignorable missing covariate data
A regression-based numerical scheme for backward stochastic differential equations
Statistical inference for two Lindley populations under balanced joint progressive type-II censoring scheme
Iterative Denoising
An accelerated EM algorithm for mixture models with uncertainty for rating data
Bayesian modeling of continuously marked spatial point patterns
Estimation and Inference in Nonparametric Cox-models: Time Transformation Methods
Support vector quantile regression with varying coefficients
Dynamic Link Library for Statistical Analysis and Its Excel Interface
S-PLUS code for simple and multiple correspondence analysis
Statistical Pruning of Discovered Association Rules
Semiparametric stochastic volatility modelling using penalized splines
An efficient simulation algorithm for the generalized von Mises distribution of order two
Estimating the smoothing parameter in generalized spline-based regression
Bootstrap for estimating the MSE of the Spatial EBLUP
Model selection criteria based on cross-validatory concordance statistics
Fast algorithms for a space-time concordance measure
Robust canonical correlations: A comparative study
Robust population designs for longitudinal linear regression model with a random intercept
Bayesian inferences and prediction of exponentiated exponential distribution based on multiple interval censored data
Population moments of sampling distributions
Multiblock latent root regression. Application to epidemiological data
Clustering bivariate mixed-type data via the cluster-weighted model
Correction to: Tempered expectation-maximization algorithm for the estimation of discrete latent variable models
Comments on: Hierarchical inference for genome-wide association studies: a view on methodology with software
Logistic regression diagnostics in ridge regression
Extended mean-conditional value-at-risk portfolio optimization with PADM and conditional scenario reduction technique
Integrated data depth for smooth functions and its application in supervised classification
<tt>surveillance</tt>: An R package for the monitoring of infectious diseases
Acceleration of the EM algorithm using the vector epsilon algorithm
Efficient simulation of complete and censored samples from common bivariate exponential distributions
Deterministic sampling from uniform distributions with Sierpiński space-filling curves
A User Friendly Software for the Design and Analysis of Experiments
Spatio-temporal change of support modeling with R
Bayesian inference using a noninformative prior for linear Gaussian random coefficient regression with inhomogeneous within-class variances
Inference and expected total test time for step-stress life test in the presence of complementary risks and incomplete data
A computational method for estimating a change point in the Cox hazard model
Detection and estimation of structural changes and outliers in unobserved components
Some new invariant sum tests and MAD tests for the assessment of Benford's law
Robust Bayesian cumulative probit linear mixed models for longitudinal ordinal data
A sparse estimate based on variational approximations for semiparametric generalized additive models
A variational inference for the Lévy adaptive regression with multiple kernels
Predictive stability criteria for penalty selection in linear models
Monitoring mean of INAR(1) process with discrete mixture exponential innovations
A predictive estimator of finite population mean using nonparametric regression
Greedy clustering of count data through a mixture of multinomial PCA
An improved exact sampling algorithm for the standard normal distribution
Automatic differentiation and maximal correlation of order statistics from discrete parents
Design of component reliability test plan for a series system having time dependent testing cost with the presence of covariates
An interactive graphical method for community detection in network data
Bayesian analysis of multiple thresholds autoregressive model
Comparison of Value-at-Risk models using the MCS approach
Bayesian sequential probability ratio test for vaccine efficacy trials
Glomerulosclerosis detection with pre-trained CNNs ensemble
Identifying local smoothness for spatially inhomogeneous functions
Spatial CART classification trees
A computational geometry approach for linear and non linear discriminant analysis
New approximate Bayesian computation algorithm for censored data
Clicks and cliques: exploring the soul of the community
Design of a multivariate exponentially weighted moving average control chart with variable sampling intervals
Challenging the curse of dimensionality in multivariate local linear regression
Computational considerations in functional principal component analysis
Robust estimation of the number of components for mixtures of linear regression models
Robust order selection of mixtures of regression models with random effects
Fair evaluation of classifier predictive performance based on binary confusion matrix
Ascent with quadratic assistance for the construction of exact experimental designs
Performance of evaluation metrics for classification in imbalanced data
Geometric goodness of fit measure to detect patterns in data point clouds
Testing the hypothesis of absence of unobserved confounding in semiparametric bivariate probit models
SpICE: an interpretable method for spatial data
fastWKendall: an efficient algorithm for weighted Kendall correlation
Approximate Bayesian computation using asymptotically normal point estimates
Penalized weighted composite quantile regression for partially linear varying coefficient models with missing covariates
Identifying Berlin's land value map using adaptive weights smoothing
Non-Linear and Nonparametric Modelling of Seasonal Environmental Data
The efficiency of the method of moments estimates for hyperparameters in the empirical Bayes binomial model
Empirical properties of forecasts with the functional autoregressive model
Model averaging for sparse seemingly unrelated regression using Bayesian networks among the errors
Bayesian Analysis for Hazard Models with Non-constant Shape Parameter
Choosing the most relevant level sets for depicting a sample of densities
Density comparison for independent and right censored samples via kernel smoothing
Non-crossing quantile regression via doubly penalized kernel machine
Additive-multiplicative hazards model with current status data
Coordinate gradient descent algorithm in adaptive LASSO for pure ARCH and pure GARCH models
Classification trees for ordinal variables
Optimal confidence regions for the two-parameter exponential distribution based on records
Weighted least squares estimation for exchangeable binary data
A Mixed User Interface for a Statistical System
Classifying for images based on the extracted probability density function and the quasi Bayesian method
Online signal extraction by robust linear regression
Howard Wainer: Graphic discovery: a trout in the milk and other visual adventures
Estimation and prediction with data quality indexes in linear regressions
Computing T-optimal designs via nested semi-infinite programming and twofold adaptive discretization
Bayesian diagnostics in a partially linear model with first-order autoregressive skew-normal errors
Non-parametric clustering over user features and latent behavioral functions with dual-view mixture models
Learning vector quantization classifiers for ROC-optimization
Are Efficient Estimators in Single-Index Models Really Efficient? A Computational Discussion
Exact inference for progressively Type-I censored step-stress accelerated life test under interval monitoring
Reducing the overfitting in the gROC curve estimation
Monitoring k th order runs in binary processes
Estimating nonlinear effects in the presence of cure fraction using a semi-parametric regression model
A GS-CORE algorithm for performing a reduction test on multiple gene sets and their core genes
GA-Ensemble: a genetic algorithm for robust ensembles
Latent variable models for ordinal data by using the adaptive quadrature approximation
Are Regression Series Estimators Efficient in Practice? A Computational Comparison Study
Genetic algorithms with shrinking population size
Nonparametric estimation of conditional transition probabilities in a non-Markov illness-death model
Spectral clustering-based community detection using graph distance and node attributes
Regression-based nearest neighbour hot decking
Likelihood inference in BL-GARCH models
Model evaluation, discrepancy function estimation, and social choice theory
"Collecting Spatial Data" by W. G. Müller Physica-Verlag (1998), ISBN 3-7908-1134-3
Tempered expectation-maximization algorithm for the estimation of discrete latent variable models
Bootstrapping binary GEV regressions for imbalanced datasets
A Divide-and-Conquer Algorithm for Generating Markov Bases of Multi-way Tables
Implementation and performance issues in the Bayesian and likelihood fitting of multilevel models
A difference-based method for testing no effect in nonparametric regression
The linear combinations of biomarkers which maximize the partial area under the ROC curves
Testing for linearity in scalar-on-function regression with responses missing at random
Influence Contours in Linear Regression
Permutation tests using least distance estimator in the multivariate regression model
An algorithm for construction of multiple hypothesis testing
Robust exponential squared loss-based estimation in semi-functional linear regression models
Holonomic gradient descent for the Fisher-Bingham distribution on the (d)-dimensional sphere
Combined regression models
BEST: a decision tree algorithm that handles missing values
A comparative study of methods for testing the equality of two or more ROC curves
PBoostGA: pseudo-boosting genetic algorithm for variable ranking and selection
A multinomial generalized linear mixed model for clustered competing risks data
Clustering directional data through depth functions
Empirical likelihood and estimation in varying coefficient models with right censored data
A generalized log-normal distribution and its goodness of fit to censored data
Feature clustering for instrument classification
Some new statistical methods for a class of zero-truncated discrete distributions with applications
Glaciers melt as mountains warm: a graphical case study
Nonsingular subsampling for regression S estimators with categorical predictors
Practical use of robust GCV and modified GCV for spline smoothing
Sequential and non-sequential acceptance sampling plans for autocorrelated processes using ARMA(p, q) models
The 2013 Data Expo of the American Statistical Association
Principal component analysis on interval data
Simulation study of dissimilarity between point process
Improved omnibus test statistic for normality
Weighted multiple testing procedure for grouped hypotheses with k -FWER control
"VBA for Modelers: Developing Decision Support Systems Using Microsoft Excel" by S. Christian Albright Duxbury Press, 2001
Improved confidence intervals based on ranked set sampling designs within a parametric bootstrap approach
On moment-type estimators for a class of log-symmetric distributions
A study of the similarities between topics
Two-sided exponential-geometric distribution: inference and volatility modeling
Efficient MCMC estimation of inflated beta regression models
Using a VOM model for reconstructing potential coding regions in EST sequences
A new estimation for INAR(1) process with Poisson distribution
Selective association rule generation
Generalized data-fitting factor analysis with multiple quantification of categorical variables
Differencing techniques in semi-parametric panel data varying coefficient models with fixed effects: a Monte Carlo study
A skew-normal dynamic linear model and Bayesian forecasting
Bayesian spatial quantile modeling applied to the incidence of extreme poverty in Lima-Peru
The impact of random tree depth - a novel randomization process for ensemble methods
Clustering of longitudinal curves via a penalized method and EM algorithm
An adaptive distribution-free test for the general two-sample problem
Bayesian segmental growth mixture Tobit models with skew distributions
iPlots eXtreme: next-generation interactive graphics design and implementation of modern interactive graphics
Combined X-bar and CRL Charts for the Gamma Process
S-estimation of hidden Markov models
Using one EWMA chart to jointly monitor the process mean and variance
Robust mixture of linear mixed modeling via multivariate Laplace distribution
Robust estimation for spatial autoregressive processes based on bounded innovation propagation representations
Robust variable selection for additive coefficient models
Stability approach to selecting the number of principal components
On the structure of the stochastic process of mortgages in Spain
Improving efficiency of data augmentation algorithms using Peskun's theorem
XGobi vs the C2: Results of an experiment comparing data visualization in a 3-D immersive virtual reality environment with a 2-D workstation display
Semiparametric regression analysis for clustered doubly-censored data
A sequential test and a sequential sampling plan based on the process capability index C pmk
Simulation of Student-Lévy processes using series representations
Frequentist standard errors of Bayes estimators
Principal component analysis for compositional data vectors
Objective Bayesian tests for Fieller-Creasy problem
Machine learning embedded EM algorithms for semiparametric mixture regression models
A computational validation for nonparametric assessment of spatial trends
Resampling based inference for a distribution function using censored ranked set samples
Regularized principal components of heritability
Adaptive tests for ANOVA in Fisher-von Mises-Langevin populations under heteroscedasticity
Inaccurate regression coefficients in Microsoft Excel 2003: an investigation of Volpi's "zero bug"
Power comparison for propensity score methods
Exact analysis of a paired sibling study
A note on parallel sampling in Markov graphs
Moments and probability density of threshold crossing times for populations in random environments under sustainable harvesting policies
Introducing Weighted Triad Census through Peeling Algorithm. An Application to Football Passing Networks
Robust estimation for the one-parameter exponential family integer-valued GARCH(1,1) models based on a modified Tukey's biweight function
Alternative ranking measures to predict international football results
Combining dissimilarity matrices by using rank correlations
Regularized target encoding outperforms traditional methods in supervised machine learning with high cardinality features
Support vector machine learning algorithm and transduction
Optimal subsampling algorithm for composite quantile regression with distributed data
Selecting dynamic graphical models with hidden variables from data
Deterministic subsampling for logistic regression with massive data
Semiparametric analysis of transformation models with left-truncated and right-censored data
Contribution to the bandwidth choice for kernel density estimates
Asymmetric vector moving average models: estimation and testing
On the linear combination of normal and Laplace random variables
Bayesian model averaging of possibly similar nonparametric densities
Extremal index: estimation and resampling
Correcting statistical models via empirical distribution functions
A Comparison of Estimation Methods for Multilevel Logistic Models
A penalized simulated maximum likelihood method to estimate parameters for SDEs with measurement error
Moments of the generalized hyperbolic distribution
ParallAX - A data mining tool based on parallel coordinates
Dependence structure and test of independence for some well-known bivariate distributions
Unconstrained representation of orthogonal matrices with application to common principal components
Targeting Bayes factors with direct-path non-equilibrium thermodynamic integration
Semiparametric estimation of the link function in binary-choice single-index models
Editorial: special issue on sports data science
Backfitting neural networks
Bayesian beta regression with Bayesianbetareg R-package
DeepCENT: prediction of censored event time via deep learning
Principal component histograms from interval-valued observations
On goodness-of-fit testing for Burr type X distribution under progressively type-II censoring
Bagging of density estimators
Bootstrap techniques in semiparametric estimation methods for ARFIMA models: A comparison study
Likelihood inference for unified transformation cure model with interval censored data
A fast algorithm for balanced sampling
Truncated stable random variables: characterization and simulation
An algorithm to construct Monte Carlo confidence intervals for an arbitrary function of probability distribution parameters
An effective method to reduce the computational complexity of composite quantile regression
Advancements in Rényi entropy and divergence estimation for model assessment
A semi-parametric Bayesian dynamic hurdle model with an application to the health and retirement study
Sparse dimension reduction for survival data
Empirical Bayes inference for the Weibull model
A Bayesian perspective of statistical machine learning for big data
A bootstrap test for threshold effects in a diffusion process
Distribution of the inter and intra inertia in conditional MCA
Using nomination sampling in estimating the area under the ROC curve
Assessing the diagnostic power of variables measured with a detection limit
A PDE based Implementation of the Hull&White Model for Cashflow Derivatives
Behaviour in small samples of some tests of non-nested hypotheses in non-stationary regressions and their bootstrap versions
A multigrid preconditioner for tensor product spline smoothing
Optimal subsample selection for massive logistic regression with distributed data
Empirical study for the agreement between statistical methods in quality assessment and control of microarray data
Computing the noncentral- F distribution and the power of the F -test with guaranteed accuracy
Non-monotonic penalizing for the number of structural breaks
Hierarchical relations among principal component and factor analysis procedures elucidated from a comprehensive model
Bi-level variable selection in semiparametric transformation models with right-censored data
Standardizing the Comparison of Partitions
Statistical simulation based on right skewed distributions
Compounding: an R package for computing continuous distributions obtained by compounding a continuous and a discrete distribution
Parameter estimation in stochastic differential equations with Markov chain Monte Carlo and non-linear Kalman filtering
Working with meta-data from C/C++ code in R: the RGCCTranslationUnit package
An e-E-insensitive support vector regression machine
Sharp bounds for the maximum of the Goodman-Kruskal τ index in a class of I x J tables with given row and column totals
Time series anomaly detection based on shapelet learning
Robust matrix factor analysis method with adaptive parameter adjustment using Cauchy weighting
Laplace regression with clustered censored data
Sequential fixed-accuracy confidence intervals for the stress-strength reliability parameter for the exponential distribution: two-stage sampling procedure
Integrative analysis of multiple types of genomic data using an accelerated failure time frailty model
Simultaneous subgroup identification and variable selection for high dimensional data
Multi-pass Bayesian estimation: a robust Bayesian method
Modal regression models based on B-splines
Interactive data analysis based on dialog systems in S-PLUS
Effective sample size approximations as entropy measures
Fast inference in copula models with categorical explanatory variables using the one-step procedure