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researcher

C. Hwang

4 papers hereh-index 202.2k citations74 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author1
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • math.PR3
  • math.ST1
same name
  • C. Hwang — 40 papers, h 26
  • C. Hwang — 32 papers, h 12
  • C. Hwang — 31 papers, h 15
  • C. Hwang — 24 papers, h 36
  • C. Hwang — 23 papers, h 61
  • C. Hwang — 12 papers

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20052015
most citedAccelerating diffusions

113 citations · 132 across the 4 of their papers we have counts for

collaborators

4 papers

math.ST2015★ 1 cited

On the Weak Convergence and Central Limit Theorem of Blurring and Nonblurring Processes with Application to Robust Location Estimation

Ting-Li Chen, Hironori Fujisawa, Su-Yun Huang +1

This article studies the weak convergence and associated Central Limit Theorem for blurring and nonblurring processes. Then, they are applied to the estimation of location paramete…

math.PR2015★ 17 cited

Disorder chaos in the spherical mean-field model

Wei-Kuo Chen, Hsi-Wei Hsieh, Chii-Ruey Hwang +1

We consider the problem of disorder chaos in the spherical mean-field model. It is concerned about the behavior of the overlap between two independently sampled spin configurations…

math.PR2014★ 1 cited

Variance reduction for diffusions

Chii-Ruey Hwang, Raoul Normand, Sheng-Jhih Wu

The most common way to sample from a probability distribution is to use Monte-Carlo methods. For distributions on a continuous state space, one can find diffusions with the target…

math.PR2005★ 113 cited

Accelerating diffusions

Chii-Ruey Hwang, Shu-Yin Hwang-Ma, Shuenn-Jyi Sheu

Let U be a given function defined on R^d and π(x) be a density function proportional to \exp -U(x). The following diffusion X(t) is often used to sample from π(x), dX(t)=-\nabla U(…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.