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B. Jin

4 papers hereh-index 12427 citations56 works total

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

author position
  • middle author1
  • last author2

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • stat.ME3
  • math.ST1
same name
  • B. Jin — 13 papers, h 15
  • B. Jin — 10 papers, h 41
  • B. Jin — 7 papers, h 8
  • B. Jin — 6 papers, h 6
  • B. Jin — 6 papers, h 1
  • B. Jin — 6 papers, h 29

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
20112018
most citedMulti-threshold Change Plane Model: Estimation Theory and Applications in Subgroup Identification

6 citations · 13 across the 4 of their papers we have counts for

collaborators

4 papers

stat.ME2018★ 6 cited

Multi-threshold Change Plane Model: Estimation Theory and Applications in Subgroup Identification

Jialiang Li, Yaguang Li, Baisuo Jin

We propose a multi-threshold change plane regression model which naturally partitions the observed subjects into subgroups with different covariate effects. The underlying grouping…

stat.ME2015★ 1 cited

Multi-threshold Accelerate Failure Time Model

Jialiang Li, Baisuo Jin

A two-stage procedure for simultaneously detecting multiple thresholds and achieving model selection in the segmented accelerate failure time (AFT) model is developed in this paper…

math.ST2013★ 4 cited

Strong limit of the extreme eigenvalues of a symmetrized auto-cross covariance matrix

Chen Wang, Baisuo Jin, Z. D. Bai +2

The auto-cross covariance matrix is defined as \[\mathbf{M}_n=\frac{1} {2T}\sum_{j=1}^T\bigl(\mathbf{e}_j\mathbf{e}_{j+τ}^*+\mathbf{e}_{j+ τ}\mathbf{e}_j^*\bigr),\] where $\mathbf{…

stat.ME2011★ 2 cited

A Novel Approach for Fast Detection of Multiple Change Points in Linear Models

Xiaoping Shi, Yuehua Wu, Baisuo Jin

A change point problem occurs in many statistical applications. If there exist change points in a model, it is harmful to make a statistical analysis without any consideration of t…

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