4 papers
Theta-positive branching in varying environment
Serik Sagitov, Alexey Lindo, Yerakhmet Zhumayev
Branching processes in a varying environment encompass a wide range of stochastic demographic models, and their complete understanding in terms of limit behaviour poses a formidabl…
Probability-Generating Function Kernels for Spherical Data
Theodore Papamarkou, Alexey Lindo
Probability-generating function (PGF) kernels are introduced, which constitute a class of kernels supported on the unit hypersphere, for the purposes of spherical data analysis. PG…
The Efficiency of Geometric Samplers for Exoplanet Transit Timing Variation Models
Noah W. Tuchow, Eric B. Ford, Theodore Papamarkou +1
Transit timing variations (TTVs) are a valuable tool to determine the masses and orbits of transiting planets in multi-planet systems. TTVs can be readily modeled given knowledge o…
Geometric adaptive Monte Carlo in random environment
Theodore Papamarkou, Alexey Lindo, Eric B. Ford
Manifold Markov chain Monte Carlo algorithms have been introduced to sample more effectively from challenging target densities exhibiting multiple modes or strong correlations. Suc…