FORECASTING INTERMITTENT AND SPARSE TIME SERIES: A UNIFIED PROBABILISTIC FRAMEWORK VIA DEEP RENEWAL PROCESSES.

Forecasting intermittent and sparse time series: A unified probabilistic framework via deep renewal processes.

Intermittency are a common and challenging problem in demand forecasting.We introduce a new, unified framework for building probabilistic forecasting models for intermittent demand time series, which incorporates and allows to generalize existing methods in several directions.Our framework is based on extensions of well-established model-based meth

read more

Neurotrauma and Inflammation: CNS and PNS Responses

Traumatic injury to the central nervous system (CNS) or the peripheral nervous system (PNS) triggers a cascade of events which culminate in a robust inflammatory reaction.The role played by inflammation in the course of degeneration and regeneration Furniture Set is not completely elucidated.While, in peripheral nerves, the inflammatory response is

read more



Dispersion formulas in QFTs, CFTs and holography

Abstract We study momentum space dispersion formulas in Nail Files general QFTs and their applications for CFT correlation functions.We show, using two independent methods, that QFT dispersion formulas can be written in terms of causal commutators.The first derivation uses analyticity properties of retarded correlators in momentum space.The second

read more