Tina Confort Kollie is a dedicated Statistician with a profound passion for data analysis and information. With a diverse skill set encompassing statistical methods, data analysis, critical thinking, and effective problem-solving, Tina excels in interpreting and presenting research findings. Her professional journey spans roles in research coordination, data management, statistical modeling, and project management, reflecting her commitment to advancing knowledge in her field.
Education
Tina pursued her academic journey with a Bachelor of Science in Mathematics from the University of N’Zérékoré, Guinea. She furthered her studies with a Master’s in Statistics at the Pan African University Institute for Basic Sciences, Technology, and Innovation (PAUSTI), Nairobi, Kenya. Her academic background equipped her with a strong foundation in mathematical sciences and statistical theory, empowering her to delve deeper into advanced statistical techniques and research methodologies.
Research Focus
Tina’s research focus revolves around developing innovative statistical models to analyze time series data, particularly focusing on count data with zero-inflation, overdispersion, and heavy tails. Her expertise lies in leveraging nonstationary Lévy-based models to uncover trends and patterns in complex datasets. Additionally, she explores the determinants of premarital fertility and gender disparities in sexual behaviors, contributing valuable insights to social science research.
Professional Journey
Tina’s professional journey commenced as a Commercials Agent at CREDIT RURAL OF GUINEA, where she facilitated daily savings accounts, laying the groundwork for her career in financial and data analysis. Subsequently, she transitioned to the role of Research Manager (Statistician) at TECHNO STAT-BTP, Cotonou, Benin, where she spearheaded research activities, mentored junior researchers, and contributed to publications in peer-reviewed journals.
Honors & Awards
In recognition of her academic excellence and potential as a future leader in statistics, Tina was awarded the PAN AFRICAN UNIVERSITY (PAU) MASTER SCHOLARSHIP, an African Union Scholarship. This prestigious accolade reflects her dedication to academic and professional development within the field of statistics.
Publication Noted & Contributions
Tina has made significant contributions to the academic community through her research publications in esteemed journals such as the Journal of Applied Mathematics and the Journal of Probability and Statistics. Her work on flexible Lévy-based models for time series data has garnered attention for its innovative approach to addressing complex statistical challenges.
“Flexible Lévy-Based Models for Time Series of Count Data with Zero-Inflation, Overdispersion, and Heavy Tails” was published in the Journal of Probability and Statistics on November 30, 2023. Here are the details:
Title: Flexible Lévy-Based Models for Time Series of Count Data with Zero-Inflation, Overdispersion, and Heavy Tails
- Journal: Journal of Probability and Statistics
- Publication Date: November 30, 2023
- DOI: 10.1155/2023/1780404
- Authors: Confort Kollie, Philip Ngare, Bonface Malenje
- Editor: Zacharias Psaradakis
- URL: Link to the article
This article focuses on proposing flexible Lévy-based models to analyze time series of count data that exhibit characteristics such as zero-inflation, overdispersion, and heavy tails.
Author Metrics
Tina’s research output is characterized by a strong citation impact, reflecting the relevance and significance of her contributions to the field of statistics. Her publications have garnered attention from peers and researchers, further establishing her reputation as a competent and influential statistician in the academic community.
Research Timeline
Tina’s research timeline reflects a trajectory of continuous growth and innovation. From her early explorations into premarital fertility trends in Benin to her current focus on advanced statistical modeling techniques, Tina’s journey is marked by a commitment to pushing the boundaries of knowledge in statistics and data analysis. Each milestone in her career represents a step forward in her quest to unravel the complexities of data and derive meaningful insights for societal benefit.
