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Related papers: Least-Informative Priors for $0\nu\beta\beta$ Deca…

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We discuss Bayesian inference for parameters selected using the data. First, we provide a critical analysis of the existing positions in the literature regarding the correct Bayesian approach under selection. Second, we propose two types of…

Statistics Theory · Mathematics 2021-05-12 Daniel G. Rasines , G. Alastair Young

Given the precision of current neutrino data, priors still impact noticeably the constraints on neutrino masses and their hierarchy. To avoid our understanding of neutrinos being driven by prior assumptions, we construct a prior that is…

Cosmology and Nongalactic Astrophysics · Physics 2018-05-02 Alan F. Heavens , Elena Sellentin

Prior specification for nonparametric Bayesian inference involves the difficult task of quantifying prior knowledge about a parameter of high, often infinite, dimension. Realistically, a statistician is unlikely to have informed opinions…

Methodology · Statistics 2012-05-01 David C. Kessler , Peter D. Hoff , David B. Dunson

The Bayesian discovery probability of future experiments searching for neutrinoless double-$\beta$ decay is evaluated under the popular assumption that neutrinos are their own antiparticles. A Bayesian global fit is performed to construct a…

High Energy Physics - Experiment · Physics 2017-09-13 Matteo Agostini , Giovanni Benato , Jason A. Detwiler

Neutrinoless double beta ($0\nu\beta\beta$) decay is the most promising way to determine whether neutrinos are Majorana particles. There are many experiments based on different isotopes searching for $0\nu\beta\beta$ decay. Combining the…

High Energy Physics - Phenomenology · Physics 2024-04-18 Shao-Long Chen , Yu-Qi Xiao

The normal-normal hierarchical model (NNHM) constitutes a simple and widely used framework for meta-analysis. In the common case of only few studies contributing to the meta-analysis, standard approaches to inference tend to perform poorly,…

Neutrinoless double beta decay is a sensitive probe of the patterns of neutrino masses and mixings if the neutrinos are Majorana particles as well as other new physics scenarios beyond the standard model. In this talk, the present…

High Energy Physics - Phenomenology · Physics 2009-10-31 R. N. Mohapatra

Neutrinoless double beta decay has been the subject of intensive theoretical work as it represents the only practical approach to discovering whether neutrinos are Majorana particles or not, and whether lepton number is a conserved quantum…

Nuclear Theory · Physics 2013-03-04 R. G. H. Robertson

Many experiments whose goal is the search for neutrino-less double beta decay are taking data or in a final construction stage. The need for a tool that allows for an objective comparison between the sensitivity of different experiments is…

Instrumentation and Detectors · Physics 2014-02-21 M. Biassoni , O. Cremonesi , P. Gorla

This paper tackles the problem of decomposing binary data using matrix factorization. We consider the family of mean-parametrized Bernoulli models, a class of generative models that are well suited for modeling binary data and enables…

Machine Learning · Computer Science 2022-07-27 Paul Magron , Cédric Févotte

We review current experimental efforts to search for neutrinoless double beta decay (0$\nu\beta\beta$). A description of the selected leading experiments is given and the strongest recent results are compared in terms of achieved background…

High Energy Physics - Experiment · Physics 2016-06-29 Igor Ostrovskiy , Kevin O'Sullivan

Neutrinoless Double Beta Decay ($0\nu\beta\beta$) is presently the only known experiment to distinguisch between Dirac neutrinos, different from their antiparticles, and Majorana neutrinos, identical with their antiparticles. In addition…

Nuclear Theory · Physics 2015-05-27 Amand Faessler

The probability distribution for the effective Majorana mass as a function of the lightest neutrino mass in the standard three neutrino scheme is computed via a random sampling from the distributions of the involved mixing angles and…

High Energy Physics - Phenomenology · Physics 2016-01-20 Giovanni Benato

The study of neutrinoless double-beta decay plays a fundamental role in the understanding of neutrino physics. Its observation would prove that neutrinos are Majorana particles and that lepton number is not conserved. Experimental searches…

Nuclear Experiment · Physics 2017-05-12 Sergio Di Domizio

The $\nu_M{\rm SM}$ is defined as the SM extended to include dimension-5 operators. In this model neutrino masses violate lepton number, and two parameters of the lepton mixing matrix, the Majorana phases, are yet to be constrained. One…

High Energy Physics - Phenomenology · Physics 2024-10-16 Avital Dery , Stefania Gori , Yuval Grossman , Zoltan Ligeti

In a previous paper, new sets of parameters to replace the Michel parameters were proposed to analyze data for the muon decay $\mu^{+} \to e^{+}\nu_{e}\bar{\nu_{\mu}}$. Both $(V-A)$ and $(V+A)$ charged currents with finite neutrino mass…

High Energy Physics - Phenomenology · Physics 2010-01-07 Masaru Doi , Tsuneyuki Kotani , Hiroyuki Nishiura

The models used to describe the kinetics of ruminal degradation are usually nonlinear models where the dependent variable is the proportion of degraded food. The method of least squares is the standard approach used to estimate the unknown…

Applications · Statistics 2021-07-21 Diego Salmerón

The search for neutrinoless double beta decay ($0\nu\beta\beta$) is one of the key experiments for determining unresolved properties of neutrinos. Experimental observation of $0\nu\beta\beta$ would provide a clear demonstration of the…

High Energy Physics - Experiment · Physics 2020-04-07 Yong-Hamb Kim

Leptogenesis in a left-right symmetric model is investigated for all possible neutrino mass hierarchies. The predictions of the model for low energy parameters as measured in neutrinoless double beta decay and in oscillation experiments are…

High Energy Physics - Phenomenology · Physics 2010-04-05 Werner Rodejohann

In a bivariate meta-analysis the number of diagnostic studies involved is often very low so that frequentist methods may result in problems. Bayesian inference is attractive as informative priors that add small amount of information can…

Methodology · Statistics 2015-12-22 Jingyi Guo , Håvard Rue , Andrea Riebler
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