Zobrazeno 1 - 10
of 76
pro vyhledávání: '"Dhar, Subhra Sankar"'
The time-to-recovery or time-to-death for various infectious diseases can vary significantly among individuals, influenced by several factors such as demographic differences, immune strength, medical history, age, pre-existing conditions, and infecti
Externí odkaz:
http://arxiv.org/abs/2408.13872
This article introduces operator on operator regression in quantum probability. Here in the regression model, the response and the independent variables are certain operator valued observables, and they are linearly associated with unknown scalar coe
Externí odkaz:
http://arxiv.org/abs/2408.00289
In this article, we study whether the slope functions of two functional regression models in two samples are associated with any arbitrary transformation (barring constant and linear transformation) or not along the vertical axis. In order to address
Externí odkaz:
http://arxiv.org/abs/2407.19502
In this article, we propose L-estimators of the unknown parameters in the instrumental variables regression in the presence of censored data under endogeneity. We allow the random errors involved in the model to be dependent. The proposed estimation
Externí odkaz:
http://arxiv.org/abs/2405.19145
We propose and study M-estimation to estimate the parameters in the censored regression model in the presence of endogeneity, i.e., the Tobit model. In the course of this study, we follow two-stage procedures: the first stage consists of applying con
Externí odkaz:
http://arxiv.org/abs/2312.10690
Autor:
Kumar, Satish, Dhar, Subhra Sankar
We characterize structures such as monotonicity, convexity, and modality in smooth regression curves using persistent homology. Persistent homology is a key tool in topological data analysis that detects higher dimensional topological features such a
Externí odkaz:
http://arxiv.org/abs/2310.19435
Autor:
Bhar, Suprio, Dhar, Subhra Sankar
This article proposes a co-variance operator for Banach valued random elements using the concept of $U$-statistic. We then study the asymptotic distribution of the proposed co-variance operator along with related large sample properties. Moreover, sp
Externí odkaz:
http://arxiv.org/abs/2307.03356
This article inspects whether a multivariate distribution is different from a specified distribution or not, and it also tests the equality of two multivariate distributions. In the course of this study, a graphical tool-kit using well-known half-spa
Externí odkaz:
http://arxiv.org/abs/2301.01345
Autor:
Bhar, Suprio, Dhar, Subhra Sankar
In this article, we study the test for independence of two random elements $X$ and $Y$ lying in an infinite dimensional space ${\cal{H}}$ (specifically, a real separable Hilbert space equipped with the inner product $\langle ., .\rangle_{\cal{H}}$).
Externí odkaz:
http://arxiv.org/abs/2301.00375
Autor:
Kumar, Satish, Dhar, Subhra Sankar
In this article, we propose a one-sample test to check whether the support of the unknown distribution generating the data is homologically equivalent to the support of some specified distribution or not OR using the corresponding two-sample test, on
Externí odkaz:
http://arxiv.org/abs/2211.13959