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Found 4 papers, 0 papers with code
Non-asymptotic Optimal Prediction Error for Growing-dimensional Partially Functional Linear Models
From the non-asymptotic point of view, we focus on the rate-optimal upper and lower bounds of the prediction error.
Heterogeneous Overdispersed Count Data Regressions via Double Penalized Estimations
This paper studies the non-asymptotic merits of the double $\ell_1$-regularized for heterogeneous overdispersed count data via negative binomial regressions.
Asymptotic in a class of network models with an increasing sub-Gamma degree sequence
For the differential privacy under the sub-Gamma noise, we derive the asymptotic properties of a class of network models with binary values with a general link function.
High-dimensional Inference and FDR Control for Simulated Markov Random Fields
Identifying important features linked to a response variable is a fundamental task in various scientific domains.
