Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
91 tokens/sec
Gemini 2.5 Pro Premium
52 tokens/sec
GPT-5 Medium
24 tokens/sec
GPT-5 High Premium
28 tokens/sec
GPT-4o
85 tokens/sec
DeepSeek R1 via Azure Premium
87 tokens/sec
GPT OSS 120B via Groq Premium
478 tokens/sec
Kimi K2 via Groq Premium
221 tokens/sec
2000 character limit reached

Asymptotic spectrum of weighted sample covariance: another proof of spectrum convergence (2410.14408v2)

Published 18 Oct 2024 in math.ST, math.PR, stat.ML, and stat.TH

Abstract: We propose another proof of the high dimensional spectrum convergence of the weighted sample covariance, more concise and self-sufficient but with stronger, but reasonable assumptions. We explain and illustrates this theorem for different weight distributions and show how the spectrum behaves in finite samples with heavy tails. The general purpose is to provide a detailed introduction to the high dimensional spectrum of weighted sample covariance.

Citations (2)

Summary

We haven't generated a summary for this paper yet.

Dice Question Streamline Icon: https://streamlinehq.com

Follow-up Questions

We haven't generated follow-up questions for this paper yet.

Authors (1)