Search Results for author: Arabin Kumar Dey

Found 7 papers, 0 papers with code

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

no code implementations25 Nov 2022 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.

Time Series Time Series Analysis

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

no code implementations21 Oct 2022 Rahul Goswami, Arabin Kumar Dey

The paper uses regression-based weak learners and provides an alternative version of the combined regression strategy (COBRA) ensemble using the Integrated Brier Score to predict conditional survival function.

regression

Concordance based Survival Cobra with regression type weak learners

no code implementations24 Sep 2022 Rahul Goswami, Arabin Kumar Dey

In this paper, we predict conditional survival functions through a combined regression strategy.

regression Vocal Bursts Type Prediction

Construction of confidence interval for a univariate stock price signal predicted through Long Short Term Memory Network

no code implementations1 Jul 2020 Shankhyajyoti De, Arabin Kumar Dey, Deepak Gauda

In this paper, we show an innovative way to construct bootstrap confidence interval of a signal estimated based on a univariate LSTM model.

A novel Empirical Bayes with Reversible Jump Markov Chain in User-Movie Recommendation system

no code implementations15 Aug 2018 Arabin Kumar Dey, Himanshu Jhamb

In this article we select the unknown dimension of the feature by re- versible jump MCMC inside a simulated annealing in bayesian set up of collaborative filter.

Movie Recommendation

Some variations on Ensembled Random Survival Forest with application to Cancer Research

no code implementations16 Sep 2017 Arabin Kumar Dey, Suhas N., Talasila Sai Teja, Anshul Juneja

In this paper we describe a novel implementation of adaboost for prediction of survival function.

A case study of Empirical Bayes in User-Movie Recommendation system

no code implementations7 Jul 2017 Arabin Kumar Dey, Raghav Somani, Sreangsu Acharyya

In this article we provide a formulation of empirical bayes described by Atchade (2011) to tune the hyperparameters of priors used in bayesian set up of collaborative filter.

Movie Recommendation

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