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researcher

L. Wasserman

145 papers hereh-index 8232.3k citations350 works total

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

author position
  • sole author3
  • first author5
  • middle author15
  • last author122

Across the 145 of 145 papers where every author was matched, so the position is known.

fields
  • math.ST52
  • stat.ME44
  • stat.ML28
  • astro-ph10
  • cs.LG3
  • math.AT3
same name
  • L. Wasserman — 32 papers, h 37
  • L. Wasserman — 14 papers, h 12
  • L. Wasserman — 6 papers, h 5
  • L. Wasserman — 5 papers, h 3

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
20002023
most citedThe huge Package for High-dimensional Undirected Graph Estimation in R

490 citations · 3.5k across the 123 of their papers we have counts for

collaborators
Showing 2013 · math.STShow all

4 papers · 2 filters

math.ST2013

Stochastic Convergence of Persistence Landscapes and Silhouettes

Frédéric Chazal, Brittany Terese Fasy, Fabrizio Lecci +2

Persistent homology is a widely used tool in Topological Data Analysis that encodes multiscale topological information as a multi-set of points in the plane called a persistence di…

math.ST2013★ 13 cited

Estimating Undirected Graphs Under Weak Assumptions

Larry Wasserman, Mladen Kolar, Alessandro Rinaldo

We consider the problem of providing nonparametric confidence guarantees for undirected graphs under weak assumptions. In particular, we do not assume sparsity, incoherence or Norm…

math.ST2013★ 5 cited

Statistical Analysis of Metric Graph Reconstruction

Fabrizio Lecci, Alessandro Rinaldo, Larry Wasserman

A metric graph is a 1-dimensional stratified metric space consisting of vertices and edges or loops glued together. Metric graphs can be naturally used to represent and model data…

math.ST2013★ 254 cited

Confidence sets for persistence diagrams

Brittany Terese Fasy, Fabrizio Lecci, Alessandro Rinaldo +3

Persistent homology is a method for probing topological properties of point clouds and functions. The method involves tracking the birth and death of topological features (2000) as…

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