A reweighted quasi-likelihood plus PCA projection estimator removes hidden-variable bias in multivariate GLMs, with convergence rates and Berry-Esseen bounds.
Then, for every t ≥ 0, we have P ( nX i=1 aiXi ≥ t ) ≤ 2 exp − cB · min t2 V 2 · ||a||2 2 , t V · ||a||max where V = max 1≤i≤n ||Xi||ψ1
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
stat.ME 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
G-HIVE: Parameter Estimation and Approximate Inference for Multivariate Response Generalized Linear Models with Hidden Variables
A reweighted quasi-likelihood plus PCA projection estimator removes hidden-variable bias in multivariate GLMs, with convergence rates and Berry-Esseen bounds.