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J. Rodriguez

39 papers hereh-index 14582 citations51 works total

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

author position
  • sole author4
  • first author6
  • middle author16
  • last author13

Across the 39 of 39 papers where every author was matched, so the position is known.

fields
  • math.AG28
  • cs.SC2
  • math.AT2
  • math.NA2
  • math.CO1
  • math.GT1
same name
  • J. Rodriguez — 33 papers, h 22
  • J. Rodriguez — 32 papers, h 68
  • J. Rodriguez — 20 papers, h 13
  • J. Rodriguez — 16 papers, h 75
  • J. Rodriguez — 14 papers, h 11
  • J. Rodriguez — 12 papers, h 9

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
20112026
most citedThe Maximum Likelihood Degree of Toric Varieties

38 citations · 89 across the 29 of their papers we have counts for

collaborators
Showing 2015 · math.AGShow all

4 papers · 2 filters

math.AG2015

The Maximum Likelihood Data Singular Locus

Emil Horobet, Jose Israel Rodriguez

For general data, the number of complex solutions to the likelihood equations is constant and this number is called the (maximum likelihood) ML-degree of the model. In this article…

math.AG2015

Multiprojective witness sets and a trace test

Jonathan D. Hauenstein, Jose Israel Rodriguez

In the field of numerical algebraic geometry, positive-dimensional solution sets of systems of polynomial equations are described by witness sets. In this paper, we define multipro…

math.AG2015★ 5 cited

The maximum likelihood degree of mixtures of independence models

Jose Israel Rodriguez, Botong Wang

The maximum likelihood degree (ML degree) measures the algebraic complexity of a fundamental optimization problem in statistics: maximum likelihood estimation. In this problem, one…

math.AG2015

Critical points via monodromy and local methods

Abraham Martin del Campo, Jose Israel Rodriguez

In many areas of applied mathematics and statistics, it is a fundamental problem to find the best representative of a model by optimizing an objective function. This can be done by…

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