activity
20132024
most citedHigh dimensional Sparse Gaussian Graphical Mixture Model

11 citations · 14 across the 5 of their papers we have counts for

collaborators

5 papers

math.OC2024★ 1 cited

Modeling stock price dynamics on the Ghana Stock Exchange: A Geometric Brownian Motion approach

Dennis Lartey Quayesam, Anani Lotsi, Felix Okoe Mettle

Modeling financial data often relies on assumptions that may prove insufficient or unrealistic in practice. The Geometric Brownian Motion (GBM) model is frequently employed to repr…

math.PR2017

Joint Large Deviation principle for empirical measures of the d-regular random graphs

U. Ibrahim, A. Lotsi, K. Doku-Amponsah

For a regular random model, we assign to vertices state spins. From this model, we define the \emph{empirical co-operate measure}, which enumerates the number of co-operati…

stat.AP2013

Network estimation in State Space Model with L1-regularization constraint

Anani Lotsi, Ernst Wit

Biological networks have arisen as an attractive paradigm of genomic science ever since the introduction of large scale genomic technologies which carried the promise of elucidatin…

stat.AP2013★ 2 cited

State-space modeling of dynamic genetic networks

Anani Lotsi, Ernst Wit

The genomic reality is a highly complex and dynamic system. The recent development of high-throughput technologies has enabled researchers to measure the abundance of many genes (i…

stat.ML2013★ 11 cited

High dimensional Sparse Gaussian Graphical Mixture Model

Anani Lotsi, Ernst Wit

This paper considers the problem of networks reconstruction from heterogeneous data using a Gaussian Graphical Mixture Model (GGMM). It is well known that parameter estimation in t…