| Publication | Date of Publication | Type |
|---|
| Network Gradient Descent Algorithm for Decentralized Federated Learning | 2024-03-06 | Paper |
| Optimal Subsampling Bootstrap for Massive Data | 2024-03-06 | Paper |
| Learning Human Activity Patterns Using Clustered Point Processes With Active and Inactive States | 2024-03-05 | Paper |
| An Asymptotic Analysis of Random Partition Based Minibatch Momentum Methods for Linear Regression Models | 2024-01-22 | Paper |
| Statistical Analysis of Fixed Mini-Batch Gradient Descent Estimator | 2024-01-22 | Paper |
| Subsampling and Jackknifing: A Practically Convenient Solution for Large Data Analysis With Limited Computational Resources | 2023-11-23 | Paper |
| Automatic, dynamic, and nearly optimal learning rate specification via local quadratic approximation | 2023-09-28 | Paper |
| Subnetwork estimation for spatial autoregressive models in large-scale networks | 2023-08-10 | Paper |
| On the asymptotic properties of a bagging estimator with a massive dataset | 2023-04-13 | Paper |
| Sparse spatio-temporal autoregressions by profiling and bagging | 2022-12-14 | Paper |
| A case study on the shareholder network effect of stock market data: an SARMA approach | 2022-10-25 | Paper |
| Regression coefficient and autoregressive order shrinkage and selection via the lasso | 2022-07-11 | Paper |
| Asymptotic covariance estimation by Gaussian random perturbation | 2022-04-22 | Paper |
| Link prediction via latent space logistic regression model | 2022-03-18 | Paper |
| Dimension reduction for covariates in network data | 2022-02-15 | Paper |
| Dimension reduction for functional regression with a binary response | 2022-01-14 | Paper |
| Distributed one-step upgraded estimation for non-uniformly and non-randomly distributed data | 2021-11-09 | Paper |
| Spatial autoregression with repeated measurements for social networks | 2021-10-28 | Paper |
| Feature Screening for Network Autoregression Model | 2021-10-06 | Paper |
| Information diffusion with network structures | 2021-05-03 | Paper |
| Network GARCH Model | 2021-04-27 | Paper |
| Network Imputation for Spatial Autoregression Model with Incomplete Data | 2020-11-16 | Paper |
| A sequential naïve Bayes method for music genre classification based on transitional information from pitch and beat | 2020-06-24 | Paper |
| Multivariate spatial autoregressive model for large scale social networks | 2020-05-21 | Paper |
| A Naive Least Squares Method for Spatial Autoregression with Covariates | 2020-05-14 | Paper |
| Logistic Regression with Network Structure | 2020-05-14 | Paper |
| Two-mode network autoregressive model for large-scale networks | 2020-03-20 | Paper |
| A spatial autoregression model with time-varying coefficients | 2020-01-31 | Paper |
| Semiparametric model for covariance regression analysis | 2019-11-22 | Paper |
| Approximate least squares estimation for spatial autoregressive models with covariates | 2019-11-22 | Paper |
| Network quantile autoregression | 2019-09-02 | Paper |
| A Popularity Scaled Latent Space Model for Large-Scale Directed Social Network | 2019-08-01 | Paper |
| Photographic diary: a new estimation approach to PM\(_{2.5}\) monitoring | 2019-06-27 | Paper |
| Least squares estimation of spatial autoregressive models for large-scale social networks | 2019-05-17 | Paper |
| Portal nodes screening for large scale social networks | 2019-04-30 | Paper |
| Sufficient Dimension Reduction for Spatial point Processes Directed by Gaussian Random Fields | 2019-04-30 | Paper |
| Banded spatio-temporal autoregressions | 2019-04-26 | Paper |
| A case study for Beijing point of interest data using group linked Cox process | 2019-03-13 | Paper |
| Testing predictor significance with ultra high dimensional multivariate responses | 2018-11-23 | Paper |
| https://portal.mardi4nfdi.de/entity/Q4558620 | 2018-11-22 | Paper |
| A latent moving average model for network regression | 2018-09-27 | Paper |
| Maximum smoothed likelihood estimation for a class of semiparametric Pareto mixture densities | 2018-09-18 | Paper |
| A note on estimating network dependence in a discrete choice model | 2018-09-18 | Paper |
| Network linear discriminant analysis | 2018-08-17 | Paper |
| Network-based naive Bayes model for social network | 2018-06-01 | Paper |
| A choice model with a diverging choice set for POI data analysis | 2018-05-08 | Paper |
| Sequential Model Averaging for High Dimensional Linear Regression Models | 2018-01-26 | Paper |
| Sample Size Calculations in Clinical Research: Third Edition | 2017-08-29 | Paper |
| Network vector autoregression | 2017-08-03 | Paper |
| A dynamic logistic regression for network link prediction | 2017-06-29 | Paper |
| Multivariate regression shrinkage and selection by canonical correlation analysis | 2016-10-31 | Paper |
| Testing a single regression coefficient in high dimensional linear models | 2016-09-13 | Paper |
| Asymptotics in undirected random graph models parameterized by the strengths of vertices | 2016-01-28 | Paper |
| Does a Bayesian approach generate robust forecasts? Evidence from applications in portfolio investment decisions | 2016-01-15 | Paper |
| Testing the statistical significance of an ultra-high-dimensional naïve Bayes classifier | 2015-12-17 | Paper |
| A note on testing conditional independence for social network analysis | 2015-11-09 | Paper |
| A high dimensional two-sample test under a low dimensional factor structure | 2015-09-10 | Paper |
| Tail Index Regression | 2015-06-10 | Paper |
| Shrinkage Estimation of the Varying Coefficient Model | 2015-05-29 | Paper |
| Testing covariates in high-dimensional regression | 2014-10-02 | Paper |
| High-dimensional influence measure | 2014-03-06 | Paper |
| A note on tail dependence regression | 2014-01-13 | Paper |
| On a Principal Varying Coefficient Model | 2013-04-26 | Paper |
| A Bayesian information criterion for portfolio selection | 2012-06-20 | Paper |
| Profiled forward regression for ultrahigh dimensional variable screening in semiparametric partially linear models | 2012-05-14 | Paper |
| Factor profiled sure independence screening | 2012-03-29 | Paper |
| Regression Analysis of Asymmetric Pairs in Large-Scale Network Data | 2011-11-25 | Paper |
| On BIC’s selection consistency for discriminant analysis | 2011-05-16 | Paper |
| Forward Regression for Ultra-High Dimensional Variable Screening | 2011-02-01 | Paper |
| On sparse estimation for semiparametric linear transformation models | 2010-05-21 | Paper |
| https://portal.mardi4nfdi.de/entity/Q3405580 | 2010-02-10 | Paper |
| Contour projected dimension reduction | 2009-12-09 | Paper |
| A note on adaptive group Lasso | 2009-06-16 | Paper |
| Sliced Regression for Dimension Reduction | 2009-06-12 | Paper |
| Unified LASSO Estimation by Least Squares Approximation | 2009-06-12 | Paper |
| A note on iterative marginal optimization: a simple algorithm for maximum rank correlation estimation | 2009-05-29 | Paper |
| Rank reducible varying coefficient model | 2009-03-20 | Paper |
| https://portal.mardi4nfdi.de/entity/Q5303261 | 2009-01-15 | Paper |
| Sliced Regression for Dimension Reduction | 2008-06-01 | Paper |
| Estimating GARCH models: when to use what? | 2008-05-29 | Paper |
| https://portal.mardi4nfdi.de/entity/Q3498639 | 2008-05-16 | Paper |
| https://portal.mardi4nfdi.de/entity/Q3498640 | 2008-05-16 | Paper |
| Tuning parameter selectors for the smoothly clipped absolute deviation method | 2008-03-20 | Paper |
| Sample Size Calculations in Clinical Research | 2007-10-31 | Paper |
| https://portal.mardi4nfdi.de/entity/Q5314563 | 2005-09-05 | Paper |
| Sample Correlation Coefficients Based on Survey Data Under Regression Imputation | 2004-06-10 | Paper |
| https://portal.mardi4nfdi.de/entity/Q4438052 | 2003-12-09 | Paper |
| Sample Size Determination Based on Rank Tests in Clinical Trials | 2003-10-07 | Paper |
| https://portal.mardi4nfdi.de/entity/Q4709787 | 2003-08-07 | Paper |
