Staff profile

My research interest is in theoretical and applied probability, focusing in history-dependent processes. These models are motivated by biological, social and computer sciences, as well as, by statistical physics. My recent research has been on urn models, random trees and aggregation models. For more details on my research, see here.

• Theoretical and Applied probability

Journal Article

• Positive Reinforced Generalized Time-Dependent Pólya Urns via Stochastic Approximation
  Ruszel, W. M., & Thacker, D. (2024). Positive Reinforced Generalized Time-Dependent Pólya Urns via Stochastic Approximation. Journal of Theoretical Probability, 37(4), 2859-2885. https://doi.org/10.1007/s10959-024-01366-w
• Continuous-time digital search tree and a border aggregation model
  Janson, S., & Thacker, D. (2022). Continuous-time digital search tree and a border aggregation model. Bernoulli (Andover), 28(4), 2563-2577. https://doi.org/10.3150/21-bej1429
• A new approach to Pólya urn schemes and its infinite color generalization
  Bandyopadhyay, A., & Thacker, D. (2022). A new approach to Pólya urn schemes and its infinite color generalization. Annals of Applied Probability, 32(1), 46-79. https://doi.org/10.1214/21-aap1671