Universidade Técnica do Porto

Dimensional Asymptotics of Euler-Based Simulated Likelihood for Multidimensional Diffusions

A widely used simulation method for likelihood inference in discretely observed diffusions approximates each transition density by simulating an Euler scheme to one step before the observed endpoint and averaging the final Gaussian density. We show that this endpoint estimator is...

The Role of Authenticity and Creativity in Street Art Advertising

This paper discusses the motivations of brands that use street art in their communication strategies and the consequences of this artistic approach on consumer attitudes. A conceptual model suggests three key antecedents of the street art advertising message: authenticity, percei...

Lightweight Llama Models with Experts’ Curated RAG for Electrical Engineering Education: An Exploratory Comparison

This study investigates the benefits of expanding small and open Large Language Models (Llama 3.x family) with retrieval and explicit referencing (retrieval-augmented generation), configured to refuse to respond when unsure about the answer. Additionally, we compare this augmente...

Dimensional Asymptotics of Euler-Based Simulated Likelihood for Multidimensional Diffusions

A widely used simulation method for likelihood inference in discretely observed diffusions approximates each transition density by simulating an Euler scheme to one step before the observed endpoint and averaging the final Gaussian density. We show that this endpoint estimator is...

Dimensional Asymptotics of Euler-Based Simulated Likelihood for Multidimensional Diffusions

A widely used simulation method for likelihood inference in discretely observed diffusions approximates each transition density by simulating an Euler scheme to one step before the observed endpoint and averaging the final Gaussian density. We show that this endpoint estimator is...

Dimensional Asymptotics of Euler-Based Simulated Likelihood for Multidimensional Diffusions

A widely used simulation method for likelihood inference in discretely observed diffusions approximates each transition density by simulating an Euler scheme to one step before the observed endpoint and averaging the final Gaussian density. We show that this endpoint estimator is...