Publications related to Approximation of Event Probabilities in Noisy Cellular Processes

Optimistic Distributionally Robust Optimization for Nonparametric Likelihood Approximation

Daniel Kuhn, Viet Anh Nguyen, Soroosh Shafieezadeh Abadeh, Wolfram Wiesemann

The likelihood function is a fundamental component in Bayesian statistics. However, evaluating the likelihood of an observation is computationally intractable in many applications. In this paper, we propose a non-parametric approximation of the likelihood ...

2019

Gaplessness is not generic for translation-invariant spin chains

Marius Christopher Lemm

The existence of a spectral gap above the ground state has far-reaching consequences for the low-energy physics of a quantum many-body system. A recent work of Movassagh [R. Movassagh, Phys. Rev. Lett. 119, 220504 (2017)] shows that a spatially random loca ...

2019

Extracting the Critical Rooting Length in Plant Uprooting by Flow From Pullout Experiments

Paolo Perona, Giulio Calvani

The growth and establishment of riparian vegetation on river bedforms is of hydrological as well as ecological importance as it helps in enhancing spatial heterogeneity and thus the biodiversity of river corridors. Yet, during floods, flow drag and scourin ...

AGU2019

The stochastic heat equation: hitting probabilities and the probability density function of the supremum via Malliavin calculus

Fei Pu

In this thesis, we study systems of linear and/or non-linear stochastic heat equations and fractional heat equations in spatial dimension

1

driven by space-time white noise. The main topic is the study of hitting probabilities for the solutions to these ...

EPFL2018

A general framework for routing problems with stochastic demands

Michel Bierlaire, Sacha Varone, Mohammad Yousef Maknoon, Iliya Dimitrov Markov

We introduce a unified modeling and solution framework for various classes of rich vehicle and inventory routing problems as well as other probability-based routing problems with a time-horizon dimension. Demand is assumed to be stochastic and non-stationa ...

2017

The Complexity of a Reliable Distributed System

Alexandre David Olivier Maurer

Studying the complexity of distributed algorithms typically boils down to evaluating how the number of messages exchanged (resp. communication steps performed or shared memory operations executed) by nodes to reliably achieve some common task, evolves with ...

2017

Development of a methodology for extreme flood estimations in alpine catchments for the verification of dam safety

Fränz Zeimetz

In the context of dam safety, reliable safety flood estimation methods are necessary to guarantee a sufficiently designed spillway capacity. Todayâs state of the art allows to approach this topic under different angles. Statistical extrapolations are com ...

EPFL2017

Covariations in ecological scaling laws fostered by community dynamics

Andrea Rinaldo, Andrea Giometto, Silvia Zaoli, Amos Maritan

Scaling laws in ecology, intended both as functional relationships among ecologically relevant quantities and the probability distributions that characterize their occurrence, have long attracted the interest of empiricists and theoreticians. Empirical evi ...

2017

Multilevel and weighted reduced basis method for stochastic optimal control problems constrained by Stokes equations

Alfio Quarteroni, Gianluigi Rozza, Peng Chen

In this paper we develop and analyze a multilevel weighted reduced basis method for solving stochastic optimal control problems constrained by Stokes equations. We prove the analytic regularity of the optimal solution in the probability space under certain ...

Springer Heidelberg2016

Stuck Walks: A Conjecture Of Erschler, Toth And Werner

Daniel Kious

In this paper, we work on a class of self-interacting nearest neighbor random walks, introduced in [Probab. Theory Related Fields 154 (2012) 149-163], for which there is competition between repulsion of neighboring edges and attraction of next-to-neighbori ...

Inst Mathematical Statistics2016

Approximation of Event Probabilities in Noisy Cellular Processes

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Optimistic Distributionally Robust Optimization for Nonparametric Likelihood Approximation

Gaplessness is not generic for translation-invariant spin chains

Extracting the Critical Rooting Length in Plant Uprooting by Flow From Pullout Experiments

The stochastic heat equation: hitting probabilities and the probability density function of the supremum via Malliavin calculus

A general framework for routing problems with stochastic demands

The Complexity of a Reliable Distributed System

Development of a methodology for extreme flood estimations in alpine catchments for the verification of dam safety

Covariations in ecological scaling laws fostered by community dynamics

Multilevel and weighted reduced basis method for stochastic optimal control problems constrained by Stokes equations

Stuck Walks: A Conjecture Of Erschler, Toth And Werner

Extracting the Critical Rooting Length in Plant Uprooting by Flow From Pullout Experiments

The stochastic heat equation: hitting probabilities and the probability density function of the supremum via Malliavin calculus

Covariations in ecological scaling laws fostered by community dynamics

Stuck Walks: A Conjecture Of Erschler, Toth And Werner

Optimistic Distributionally Robust Optimization for Nonparametric Likelihood Approximation

Development of a methodology for extreme flood estimations in alpine catchments for the verification of dam safety

Multilevel and weighted reduced basis method for stochastic optimal control problems constrained by Stokes equations

A general framework for routing problems with stochastic demands

Gaplessness is not generic for translation-invariant spin chains

The Complexity of a Reliable Distributed System