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Joseph K. Blitzstein

4 papers hereh-index 9612 citations31 works total

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

author position
  • last author4

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

fields
  • stat.AP2
  • math.ST1
  • stat.CO1

identity via Semantic Scholar / OpenAlex

activity
20112015
most citedValued Ties Tell Fewer Lies: Why Not To Dichotomize Network Edges With Thresholds

31 citations · 33 across the 4 of their papers we have counts for

collaborators

4 papers

math.ST2015★ 1 cited

Representation for the Gauss-Laplace Transmutation

Peng Ding, Joseph K. Blitzstein

Under certain conditions, a symmetric unimodal continuous random variable ξ can be represented as a scale mixture of the standard Normal distribution Z, i.e., ξ=W​Z,…

stat.CO2012

Bias-Variance and Breadth-Depth Tradeoffs in Respondent-Driven Sampling

Sergiy Nesterko, Joseph Blitzstein

Respondent-driven sampling (RDS) is a link-tracing network sampling strategy for collecting data from hard-to-reach populations, such as injection drug users or individuals at high…

stat.AP2011★ 1 cited

Valued Ties Tell Fewer Lies, II: Why Not To Dichotomize Network Edges With Bounded Outdegrees

Andrew C. Thomas, Joseph K. Blitzstein

Various methods have been proposed for creating a binary version of a complex network with valued ties. Rather than the default method of choosing a single threshold value about wh…

stat.AP2011★ 31 cited

Valued Ties Tell Fewer Lies: Why Not To Dichotomize Network Edges With Thresholds

Andrew C. Thomas, Joseph K. Blitzstein

In order to conduct analyses of networked systems where connections between individuals take on a range of values - counts, continuous strengths or ordinal rankings - a common tech…

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