Search results for " likelihood"
showing 10 items of 115 documents
Direct and Indirect Effects of Function in Associated Variables Such as Depression and Severity on Pain Intensity in Women with Carpal Tunnel Syndrome
2015
Objective To determine the direct and indirect effects of function on clinical variables such as age, pain intensity, years of the disease, severity of symptoms, and depression in women with electrodiagnostic and clinical diagnosis of carpal tunnel syndrome (CTS). Design A cross-sectional study. Setting Patients from an urban hospital referred to a university clinic. Methods Two hundred and forty-four (n = 224) women with CTS were included. Demographic and clinical data, duration of symptoms, function, symptom's severity of the symptoms, pain intensity, and depression were self-reported collected. Correlation and path analysis with maximum likelihood estimation were conducted to assess the …
La evolución en los tribunales: aplicaciones forenses de las filogenias moleculares
2013
En las dos últimas décadas se ha generalizado el uso de pruebas genéticas en los tribunales, permitiendo la identificación de criminales a partir de restos biológicos, la determinación de paternidades o la identificación de cadáveres. Menos conocidas son las periciales basadas en el uso de filogenias moleculares. En ellas se estudia la ancestralidad común de organismos, normalmente virus o bacterias, para establecer su asociación a una fuente de infección. Desde el caso del dentista de Florida, que infectó con el VIH a varios de sus pacientes, hasta el más próximo del anestesista Juan Maeso, que transmitió el VHC a cerca de 300 pacientes, la teoría evolutiva tiene un papel esencial en estas…
Verità instabili. L'eikos in Aristotele
2012
This paper deals with the Aristotelian concept of eikos, traditionally translated as “probability” or “likelihood", with the aim of showing the complexity and the theoretical worth of this notion. Eikos has already been an important concept in fields such as historiography and rhetoric and it plays a crucial role in Aristotelian thought, as well. According to Aristotle, eikos does not oppose itself to truth nor is it a second-level knowledge. Instead, it is a heuristic device that is extremely useful in conditions of uncertainty. Aristotle’s task was to offer a personal elaboration of a concept that already had a rich background and was suited to become a means for reflection on a crucial p…
On incorporating the paradigms of discretization and Bayesian estimation to create a new family of pursuit learning automata
2013
Published version of an article in the journal: Applied Intelligence. Also available from the publisher at: http://dx.doi.org/10.1007/s10489-013-0424-x There are currently two fundamental paradigms that have been used to enhance the convergence speed of Learning Automata (LA). The first involves the concept of utilizing the estimates of the reward probabilities, while the second involves discretizing the probability space in which the LA operates. This paper demonstrates how both of these can be simultaneously utilized, and in particular, by using the family of Bayesian estimates that have been proven to have distinct advantages over their maximum likelihood counterparts. The success of LA-…
Molecular evolution and complete genome sequences in forensic analysis: Neisseria gonorrhoeae in a transmission case
2019
Molecular epidemiology and phylogenetic analyses are frequently used in the investigation of viral transmission cases in forensic contexts. Here, we present the methods and results of the analysis of a bacterial transmission in an alleged child abuse case using complete genome sequences obtained by high-throughput sequencing (HTS) methods.
An Improved Detection Technique for Cyclic-Prefixed OFDM
2010
A novel Orthogonal Frequency Division Multiplexing detection technique compatible to standard (e.g. Wireless LAN) transmitters is proposed. It features enhanced error-rate performance with flexible computational complexity and robustness to imperfect channel estimation. It is based on exploitation of the redundancy available in the cyclic prefix after cancellation of interference from the preceding block. In order to show the effectiveness of our proposal, an analysis of computational complexity and a number of comparisons to the standard per-subcarrier receiver and a previously existing method in terms of error rates are reported.
A Bayesian unified framework for risk estimation and cluster identification in small area health data analysis.
2020
Many statistical models have been proposed to analyse small area disease data with the aim of describing spatial variation in disease risk. In this paper, we propose a Bayesian hierarchical model that simultaneously allows for risk estimation and cluster identification. Our model formulation assumes that there is an unknown number of risk classes and small areas are assigned to a risk class by means of independent allocation variables. Therefore, areas within each cluster are assumed to share a common risk but they may be geographically separated. The posterior distribution of the parameter representing the number of risk classes is estimated using a novel procedure that combines its prior …
The Notion of Eikos Within Conspiracy Theories. A Rhetorical Analysis
2022
Based on the analysis of one specific conspiracy theory, this paper will explore, from the rhetorical framework, the antic concept of likelihood [eikos]. Indeed, we believe that the rhetorical approach could allow us, on a larger scale, to (re)question, in the light of contemporary challenges, the complex relationship we have with the notions of rationality and truth. More precisely, to proceed with the rhetorical analysis, we will mobilise two types of logical reasoning: first, “the logic of the pot” argument from pragmatic logic and second, the logic of amplification and poetization of discourse. This will allow us to draw some comparisons between conspiracist speeches and, respectively, …
Dynamic factorial graphical models for dynamic networks
2014
Dynamic networks models describe a growing number of important scientific processes, from cell biology and epidemiology to sociology and finance. Estimating dynamic networks from noisy time series data is a difficult task since the number of components involved in the system is very large. As a result, the number of parameters to be estimated is typically larger than the number of observations. However, a characteristic of many real life networks is that they are sparse. For example, the molec- ular structure of genes make interactions with other components a highly-structured and, therefore, a sparse process. Penalized Gaussian graphical models have been used to estimate sparse networks. H…
Money in an Estimated Business Cycle Model of the Euro Area
2006
We present maximum likelihood estimates of a small scale dynamic general equilibrium model for the Eurozone. We pay special attention to the role of money, both through its direct effect upon private agents’ decisions and as a component of the monetary policy rule. Our results can be summarized as follows. First, we find no direct effect of money upon inflation and output but money growth plays a significant role in the interest rate rule. Second, money demand shocks mainly help to forecast real balances while real shocks explain the bulk of price, output and interest rates fluctuations. Third, the estimated model predicts sensible conditional correlations among those variables both to dema…