Recent & Upcoming Talks

2024

I will discuss the Bayes factor surface - a new way to present results of searches for new physics. I will begin by explaining my …

2023

We explore the origins of parameters in adimensional theories – fundamental theories with no classical massive scales. If the …

We explore the origins of parameters in adimensional theories – fundamental theories with no classical massive scales. If the …

Gravitational waves have now emerged as an important experimental test of first-order phase transitions in the early Universe and we …

Finding new physics means correctly distinguishing signal from noise in LHC searches. What can go wrong and what research practices …

We explore the origins of parameters in adimensional theories — fundamental theories with no classical massive scales. If the …

We open up nested sampling (NS) to new applications by viewing NS as a general algorithm for tackling compression. We demonstrate this …

We explore the origins of parameters in adimensional theories – fundamental theories with no classical massive scales. If the …

We explore the origins of parameters in adimensional theories – fundamental theories with no classical massive scales. If the …

2022

I review Bayesian and frequentist methods, including their philosophies and subjective and objective aspects, and provide examples of …

2021

We propose a novel method for computing $p$-values based on nested sampling (NS). The computational cost of NS scales as $\log^2 1/p$, …

The statistical models used to derive the results of experimental analyses are of incredible scientific value and are essential …

We propose a novel method for computing $p$-values based on nested sampling (NS) applied to the sampling space rather than the …

We propose a novel method for computing $p$-values based on nested sampling (NS) applied to the sampling space rather than the …

The starting point for a statistically sound reinterpretation of an experimental result is the likelihood function, which encodes the …

The excess of electron recoil events seen by the XENON1T experiment has been interpreted as a potential signal of axion-like particles …

2020

Nested sampling (NS) is an invaluable tool in data analysis in modern astrophysics, cosmology, gravitational wave astronomy and …

Nested sampling (NS) is an invaluable tool in data analysis in modern astrophysics, cosmology, gravitational wave astronomy and …

Nested sampling (NS) is an invaluable tool in data analysis in modern astrophysics, cosmology, gravitational wave astronomy and …

2019

Searches for supersymmetric electroweakinos have entered a crucial phase, as the integrated luminosity of the Large Hadron Collider is …

I discuss findings from my recent comparison of Bayesian and frequentist approaches to resonance searches (1902.03243). I introduce a …

I discuss findings from my recent comparison of Bayesian and frequentist approaches to resonance searches (1902.03243). I introduce a …

I discuss findings from my recent comparison of Bayesian and frequentist approaches to resonance searches (1902.03243). I introduce a …

I discuss findings from my recent comparison of Bayesian and frequentist approaches to resonance searches (1902.03243). I introduce a …

I discuss my recent comparison of Bayesian and frequentist approaches to a resonance-like feature in the spectrum measured by DAMPE and …

I discuss my recent comparison of Bayesian and frequentist approaches to a resonance-like feature in the spectrum measured by DAMPE and …

2018

We investigate the impact of uncertainty in the velocity distribution of dark matter on direct detection experiments. We construct an …

I present results from 1711.09912 of frequentist and Bayesian statistical analyses of Higgs- and Z-portal models of dark matter …

I present results from 1711.09912 of frequentist and Bayesian statistical analyses of Higgs- and Z-portal models of dark matter …

We, the GAMBIT collaboration, perform statistical analyses of models in particle physics. We must determine whether points in a …

I present results from 1711.09912 of frequentist and Bayesian statistical analyses of Higgs- and Z-portal models of dark matter …

2017

I discuss how one can use Bayesian statistics to judge scientific theories, showing that an automatic Occam’s razor penalises …

Using the DAMA/LIBRA anomaly as an example, we formalise the notion of halo-independence in the context of Bayesian statistics and …

Using the DAMA/LIBRA anomaly as an example, we formalise the notion of halo-independence in the context of Bayesian statistics and …

Using the DAMA/LIBRA anomaly as an example, we formalise the notion of halo-independence in the context of Bayesian statistics and …

In light of recent controversy about $p$-values, I discuss Bayes factors and their potential application in particle physics at the …

2016

The relaxion mechanism is a novel solution to the hierarchy problem that utilizes the dynamics of an axion-like field. I discuss …

I argue that traditional fine-tuning and naturalness arguments in physics originate from Bayesian statistics, including an overview of …

Lindley’s paradox is a difficulty reconciling two paradigms, Bayesian and frequentist statistics. Like in physics, paradoxes are …

The relaxion mechanism is a novel solution to the hierarchy problem that utilizes the dynamics of an axion-like field. I discuss …

The discovery of a 125 GeV Higgs-like boson and null results in searches for new physics at the LHC have lead to renewed interest in …

The relaxion mechanism is a novel solution to the hierarchy problem that utilizes the dynamics of an axion-like field. I discuss …

2015

2014

Discussions are underway for a high-energy proton-proton collider. Two preliminary ideas are the $\sqrt{s}=33$ TeV HE-LHC and the …

2013

In light of the failed supersymmetry searches at the LHC, with Bayesian statistics, I discuss: Where is supersymmetry?, and, Is the …

2011

I explain how we identify the regions of the Constrained Minimal Supersymmetric Standard Model’s parameter space that are in best …