2014/06/16 by Andreas Andresen, Andresen, Andreas · 1 citation
Economics, Econometrics and Finance · Mathematics · #62F10 #FOS: Mathematics #Financial Risk and Volatility Modeling #G.3 #Statistical Methods and Inference #Statistics Theory (math.ST) #Stochastic processes and financial applications #acm:62F10 #math.ST #msc:62F10 #stat.TH
paper · pdf · doi:10.48550/arxiv.1406.4052
openalex publication_date 2014/06/16 · arxiv created 2015/02/24 · arxiv updated 2015/02/25 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
We apply the results of Andresen A. and Spokoiny V. on profile M-estimators and the alternating maximization procedure to analyse a sieve profile quasi maximum likelihood estimator in the single index model with linear index function. The link function is approximated with \(C3\)-Daubechies-wavelets with compact support. We derive results like Wilks phenomenon and Fisher Theorem in a finite sample setup. Further we show that an alternation maximization procedure converges to the global maximizer and assess the performance of a projection pursuit procedure in that context. The approach is based on showing that the conditions of Andresen A. and Spokoiny V. on profile M-estimators and the alternating maximization procedure can be satisfied under a set of mild regularity and moment conditions on the index function, the regressors and the additive noise. This allows to construct nonasymptotic confidence sets and to derive asymptotic bounds for the estimator as corollaries.