1 citations · 1 across the 7 of their papers we have counts for
8 papers
When Teachers Smile or Frown: A Profile-Based Analysis of Achievement Emotions
Rudra Mukhopadhyay, Satyaki Mazumder, Koel Das
Achievement emotions shape how students engage with and learn from academic tasks, yet most studies examine individual emotions rather than co-occurring affective profiles and thei…
A New Spatio-Temporal Model Exploiting Hamiltonian Equations
Satyaki Mazumder, Sayantan Banerjee, Sourabh Bhattacharya
The solutions of Hamiltonian equations are known to describe the underlying phase space of a mechanical system. In this article, we propose a novel spatio-temporal model using a st…
Reversing Food Craving Preference Through Multisensory Exposure
Avishek Chatterjee, satyaki Mazumder, Koel Das
Experiencing food craving is nearly ubiquitous and has several negative pathological impacts, but effective intervention strategies to control or reverse craving remain limited. Fo…
Functional Classwise Principal Component Analysis: A Novel Classification Framework
Avishek Chatterjee, Satyaki Mazumder, Koel Das
In recent times, functional data analysis (FDA) has been successfully applied in the field of high dimensional data classification. In this paper, we present a novel classification…
Nonparametric Dynamic State Space Modeling of Observed Circular Time Series with Circular Latent States: A Bayesian Perspective
Satyaki Mazumder, Sourabh Bhattacharya
Circular time series has received relatively little attention in statistics and modeling complex circular time series using the state space approach is non-existent in the literatu…
On existence of a change in mean of functional data
Buddhananda Banerjee, Satyaki Mazumder
Functional data often arise as sequential temporal observations over a continuous state-space. A set of functional data with a possible change in its structure may lead to a wrong…
Bayesian Nonparametric Dynamic State Space Modeling with Circular Latent States
Satyaki Mazumder, Sourabh Bhattacharya
State space models are well-known for their versatility in modeling dynamic systems that arise in various scientific disciplines. Although parametric state space models are well st…
Single step and multiple step forecasting in one dimensional single chirp signal using MCMC based Bayesian analysis
Satyaki Mazumder
Chirp signals are frequently used in different areas of science and engineering. MCMC based Bayesian inference is done here for purpose of one step and multiple step prediction in…