activity
20062016
most citedAir quality prediction using optimal neural networks with stochastic variables

131 citations · 441 across the 19 of their papers we have counts for

collaborators

21 papers

cond-mat.dis-nn2016★ 27 cited

Record breaking bursts during the compressive failure of porous materials

Gergo Pal, Frank Raischel, Sabine Lennartz-Sassinek +2

An accurate understanding of the interplay between random and deterministic processes in generating extreme events is of critical importance in many fields, from forecasting extrem…

physics.data-an2015

Parameter-free resolution of the superposition of stochastic signals

Teresa Scholz, Frank Raischel, Vitor V. Lopes +4

This paper presents a direct method to obtain the deterministic and stochastic contribution of the sum of two independent sets of stochastic processes, one of which is composed by…

physics.data-an2015★ 23 cited

From empirical data to continuous Markov processes: a systematic approach

Pedro Lencastre, Frank Raischel, Tim Rogers +1

We present an approach for testing for the existence of continuous generators of discrete stochastic transition matrices. Typically, the known approaches to ascertain the existence…

q-fin.ST2015★ 8 cited

Uncovering the evolution of non-stationary stochastic variables: the example of asset volume-price fluctuations

Paulo Rocha, Frank Raischel, João P. Boto +1

We present a framework for describing the evolution of stochastic observables having a non-stationary distribution of values. The framework is applied to empirical volume-prices fr…

physics.ao-ph2014★ 2 cited

Daily pollution forecast using optimal meteorological data at synoptic and local scales

Ana Russo, Pedro G. Lind, Frank Raischel +2

We present a simple framework to easily pre-select the most essential data for accurately forecasting the concentration of the pollutant PM, based on pollutants observations…

q-fin.ST2014★ 2 cited

Optimal models of extreme volume-prices are time-dependent

Paulo Rocha, Frank Raischel, João Pedro Boto +1

We present evidence that the best model for empirical volume-price distributions is not always the same and it strongly depends in (i) the region of the volume-price spectrum that…