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Found 7 papers, 0 papers with code
Integrated Sensing and Communication enabled Doppler Frequency Shift Estimation and Compensation
Despite the millimeter wave technology fulfills the low-latency and high data transmission, it will cause severe Doppler Frequency Shift (DFS) for high-speed vehicular network, which tremendously damages the communication performance.
Directional FDR Control for Sub-Gaussian Sparse GLMs
Using the debiased estimator, we establish multiple testing procedures.
Elastic-net Regularized High-dimensional Negative Binomial Regression: Consistency and Weak Signals Detection
We study a sparse negative binomial regression (NBR) for count data by showing the non-asymptotic advantages of using the elastic-net estimator.
Concise comparative summaries (CCS) of large text corpora with a human experiment
In this paper we propose a general framework for topic-specific summarization of large text corpora and illustrate how it can be used for the analysis of news databases.
Supplement to "Reversible MCMC on Markov equivalence classes of sparse directed acyclic graphs"
This supplementary material includes three parts: some preliminary results, four examples, an experiment, three new algorithms, and all proofs of the results in the paper "Reversible MCMC on Markov equivalence classes of sparse directed acyclic graphs".
Reversible MCMC on Markov equivalence classes of sparse directed acyclic graphs
In this paper, we design reversible irreducible Markov chains on the space of Markov equivalent classes by proposing a perfect set of operators that determine the transitions of the Markov chain.
Predicting Execution Time of Computer Programs Using Sparse Polynomial Regression
Our two SPORE algorithms are able to build relationships between responses (e. g., the execution time of a computer program) and features, and select a few from hundreds of the retrieved features to construct an explicitly sparse and non-linear model to predict the response variable.
