Sökning: "Oleg Sysoev"

Hittade 2 avhandlingar innehållade orden Oleg Sysoev.

1. 1. Monotonic regression for large multivariate datasets

   Författare :Oleg Sysoev; Panos Pardalos; Linköpings universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Statistics; Statistik;

   Sammanfattning : Monotonic regression is a non-parametric statistical method that is designed especially for applications in which the expected value of a response variable increases or decreases in one or more explanatory variables. Such applications can be found in business, physics, biology, medicine, signal processing, and other areas. LÄS MER

3. 2. Prediction Methods for High Dimensional Data with Censored Covariates

   Författare :Caroline Svahn; Oleg Sysoev; Mattias Villani; Fredrik Gunnarsson; Xavier de Luna; Linköpings universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; statistics; machine learning; censored covariates; statistik; maskininlärning; censurerade kovariater;

   Sammanfattning : While access to data steadily increases, not all data are straight-forward to use for prediction. Censored data are common in several industrial scenarios, and typically arise when there are some limitations to measuring equipment such as for instance concentration measuring equipment in chemistry or signal receivers in signal processing. LÄS MER