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6 papers · 2 filters
Bayesian Testing Of Granger Causality In Functional Time Series
Rituparna Sen, Anandamayee Majumdar, Shubhangi Sikaria
We develop a multivariate functional autoregressive model (MFAR), which captures the cross-correlation among multiple functional time series and thus improves forecast accuracy. We…
U-Statistics for Left Truncated and Right Censored Data
Sudheesh, K. K., Anjana +3
The analysis left truncated and right censored data is very common in survival and reliability analysis. In lifetime studies patients often subject to left truncation in addition t…
IID Sampling from Intractable Multimodal and Variable-Dimensional Distributions
Sourabh Bhattacharya
Bhattacharya (2021b) has introduced a novel methodology for generating iid realizations from any target distribution on the Euclidean space, irrespective of dimensionality. In this…
Bayesian Levy-Dynamic Spatio-Temporal Process: Towards Big Data Analysis
Sourabh Bhattacharya
In this era of big data, all scientific disciplines are evolving fast to cope up with the enormity of the available information. So is statistics, the queen of science. Big data ar…
Querying multiple sets of -values through composed hypothesis testing
Tristan Mary-Huard, Sarmistha Das, Indranil Mukhopadhyay +1
Motivation: Combining the results of different experiments to exhibit complex patterns or to improve statistical power is a typical aim of data integration. The starting point of t…
CovNet: Covariance Networks for Functional Data on Multidimensional Domains
Soham Sarkar, Victor M. Panaretos
Covariance estimation is ubiquitous in functional data analysis. Yet, the case of functional observations over multidimensional domains introduces computational and statistical cha…