research
∙
05/10/2023
Supervised learning with probabilistic morphisms and kernel mean embeddings
In this paper I propose a concept of a correct loss function in a genera...
share
research
∙
08/13/2022
Natural differentiable structures on statistical models and the Fisher metric
In this paper I discuss the relation between the concept of the Fisher m...
research
∙
11/26/2020
Nonparametric estimations and the diffeological Fisher metric
In this paper, first, we survey the concept of diffeological Fisher metr...
research
∙
10/27/2020
Epidemic Dynamics via Wavelet Theory and Machine Learning, with Applications to Covid-19
We introduce the concept of epidemic-fitted wavelets which comprise, in ...
research
∙
12/04/2019
Diffeological statistical models, the Fisher metric and probabilistic mappings
In this note I introduce a class of almost 2-integrable C^k-diffeologica...
research
∙
05/27/2019
