Numerical generalized randomized Hamiltonian Monte Carlo is introduced, as a robust, easy to use and computationally fast alternative conventional Markov chain methods for continuous target distributions. A wide class of piecewise deterministic processes generalizing Randomized HMC (Bou-Rabee Sanz-Serna) by allowing state-dependent event rates defined. Under very mild restrictions, such will ha...

Existing sequence prediction methods are mostly concerned with time-independent sequences, in which the actual time span between events is irrelevant and the distance between events is simply the difference between their order positions in the sequence. While this time-independent view of sequences is applicable for data such as natural languages, e.g., dealing with words in a sentence, it is i...

The self-controlled case series method may be used to study the association between a time-varying exposure and a health event. It is based only on cases, and it controls for fixed confounders. Exposure and event histories are collected for each case over a pre-defined observation period. The method requires that observation periods should be independent of event times. This requirement is viol...

This paper addresses multiple proportional readings in donkey sentences and deals with a question of why the disambiguation of proportional readings is affected by the topic structure of a sentence. The correlation between proportional readings and topic structure has been observed by Heim (1990) and Chierchia (1992) but has not been given a satisfactory explanation yet. Based on my previous st...

During embryonic development, the foundation of the germline is laid by the specification of primordial germ cells (PGCs) from the postimplantation epiblast via bone morphogenetic protein (BMP) and WNT signalling. While the majority of epiblast cells undergo differentiation towards somatic cell lineages, PGCs initiate a unique cellular programme driven by the cooperation of the transcription fa...