Nonparametric sequential point estimation of an unknown characteristic function

In this paper, we study the properties of a random stopping time in the problem of nonparametric sequentialpoint estimation of the characteristic function and the Laplace transform of a distribution with a quadratic loss function.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-11-07
DOI
https://doi.org/10.5281/zenodo.14552096
Primary Topic
Probability and Risk Models
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Nonparametric sequential point estimation of an unknown characteristic function

Zenodo (CERN European Organization for Nuclear Research)
Probability and Risk Models
article

Nonparametric sequential point estimation of an unknown characteristic function

article en

Abstract

In this paper, we study the properties of a random stopping time in the problem of nonparametric sequentialpoint estimation of the characteristic function and the Laplace transform of a distribution with a quadratic loss function.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 55%
Probability and Risk Models
DOIOpen Access PDFOpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Nonparametric sequential point estimation of an unknown characteristic function · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS