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Multivariate geometric anisotropic Cox processes

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Metropolitan Innovation Systems: Inquiry into the co-evolving relations between Industry, University and Government

Innovation is crucial and decisive for the long-term development of a metropolitan region in the global economy. While firms certainly play a significant role in the development of specific innovation, the environment that nur-tures innovative firms and di ...

EPFL2020

Earth and field observations underpin metapopulation dynamics in complex landscapes: Near-term study on carabids

Andrea Rinaldo, Damiano Pasetto, Francisco Javier Perez Saez, Jonathan Giezendanner

Understanding risks to biodiversity requires predictions of the spatial distribution of species adapting to changing ecosystems and, to that end, Earth observations integrating field surveys prove essential as they provide key numbers for assessing landsca ...

2020

The role of demand in fostering product vs process innovation: a model and an empirical test

Gabriele Pellegrino

While the extant innovation literature has provided extensive evidence of the so-called "demand-pull" effect, the possible diverse impact of demand evolution on product vs process innovation activities has not been yet investigated. This paper develops a f ...

SPRINGER2021

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Stabilization of cultural innovations depends on population density: Testing an epidemiological model of cultural evolution against a global dataset of rock art sites and climate-based estimates of ancient population densities

John Richard Walker, Taylor Howard Newton, Francesco Casalegno

Demographic models of human cultural evolution have high explanatory potential but weak empirical support. Here we use a global dataset of rock art sites and climate and genetics-based estimates of ancient population densities to test a new model based on ...

2021

Drift Estimation of Multiscale Diffusions Based on Filtered Data

Assyr Abdulle, Giacomo Garegnani, Andrea Zanoni, Grigorios A. Pavliotis

We study the problem of drift estimation for two-scale continuous time series. We set ourselves in the framework of overdamped Langevin equations, for which a single-scale surrogate homogenized equation exists. In this setting, estimating the drift coeffic ...

2023

Metropolitan Innovation Systems: Inquiry into the co-evolving relations between Industry, University and Government

Jiayun Shen

EPFL2020

Earth and field observations underpin metapopulation dynamics in complex landscapes: Near-term study on carabids

Andrea Rinaldo, Damiano Pasetto, Francisco Javier Perez Saez, Jonathan Giezendanner

2020

The Open Innovation in Science research field: a collaborative conceptualisation approach

Marc Gruber, Christopher Tucci, Marcellus Bogers

Openness and collaboration in scientific research are attracting increasing attention from scholars and practitioners alike. However, a common understanding of these phenomena is hindered by disciplinary boundaries and disconnected research streams. We lin ...

ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD2022

Inference on the Angular Distribution of Extremes

Claudio Andri Semadeni

The spectral distribution plays a key role in the statistical modelling of multivariate extremes, as it defines the dependence structure of multivariate extreme-value distributions and characterizes the limiting distribution of the relative sizes of the co ...

EPFL2020

A new spatial count data model with Bayesian additive regression trees for accident hot spot identification

Prateek Bansal, Rico Krüger

The identification of accident hot spots is a central task of road safety management. Bayesian count data models have emerged as the workhorse method for producing probabilistic rankings of hazardous sites in road networks. Typically, these methods assume ...

2020

The role of demand in fostering product vs process innovation: a model and an empirical test

Gabriele Pellegrino

SPRINGER2021

Fréchet means and Procrustes analysis in Wasserstein space

Victor Panaretos, Yoav Zemel

We consider two statistical problems at the intersection of functional and non-Euclidean data analysis: the determination of a Fréchet mean in the Wasserstein space of multivariate distributions; and the optimal registration of deformed random measures and ...

2019

Extremal behaviour of aggregated data with an application to downscaling

Sebastian Engelke, Raphaël Gérard Théodore Michel Marie de Deloÿe et Fourcade de Fondeville

The distribution of spatially aggregated data from a stochastic process may exhibit tail behaviour different from that of its marginal distributions. For a large class of aggregating functionals we introduce the -extremal coefficient, which quantifies this ...

OXFORD UNIV PRESS2019

Page 2 of 3

Stabilization of cultural innovations depends on population density: Testing an epidemiological model of cultural evolution against a global dataset of rock art sites and climate-based estimates of ancient population densities

John Richard Walker, Taylor Howard Newton, Francesco Casalegno

2021