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A. K. Dey

15 papers hereh-index 6395 citations25 works total

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

author position
  • first author5
  • middle author4
  • last author6

Across the 15 of 15 papers where every author was matched, so the position is known.

fields
  • stat.ME5
  • stat.ML5
  • stat.CO3
  • cs.LG2
same name
  • A. K. Dey — 9 papers, h 11
  • A. K. Dey — 3 papers, h 1

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
20162024
most citedBayesian Analysis of Modified Weibull distribution under progressively censored competing risk model

5 citations · 9 across the 15 of their papers we have counts for

collaborators
Showing 2022Show all

4 papers · 1 filter

stat.ME2022

Confidence Interval Construction for Multivariate time series using Long Short Term Memory Network

Aryan Bhambu, Arabin Kumar Dey

In this paper we propose a novel procedure to construct a confidence interval for multivariate time series predictions using long short term memory network. The construction uses a…

cs.LG2022★ 1 cited

Integrated Brier Score based Survival Cobra -- A regression based approach

Rahul Goswami, Arabin Kumar Dey

Recently Goswami et al. \cite{goswami2022concordance} introduced two novel implementations of combined regression strategy to find the conditional survival function. The paper uses…

cs.LG2022

Controlling Travel Path of Original Cobra

Mriganka Basu RoyChowdhury, Arabin K Dey

In this paper we propose a kernel based COBRA which is a direct approximation of the original COBRA. We propose a novel tuning procedure for original COBRA parameters based on this…

stat.ML2022

Concordance based Survival Cobra with regression type weak learners

Rahul Goswami, Arabin Kumar Dey

In this paper, we predict conditional survival functions through a combined regression strategy. We take weak learners as different random survival trees. We propose to maximize co…

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