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Showing 1 to 20 of 32 for “"Conditional probabilities"”.
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Term structures of conditional probabilities of corporate default in an incomplete information setting
… against default, the importance of estimating probabilities of default has reached an unprecedented level. We have developed a Bayesian model to estimate term structures of conditional probabilities of corporate default, in an incomplete information setting. In such settings, investors do not …
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Applications and Analysis of NLP Deep Learning Models for Antibiotic's Side Effects Classifications
… vectorization technique for articles, leveraging conditional probabilities for more effective clustering. I believe that these methods will provide advantages in both computational efficiency and clustering accuracy. I will analyze the effectiveness of recursive iterations and higher-dimensional …
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Usuários de uma biblioteca universitária: estudo realizado no Instituto de Filosofia e Ciências Humanas da Universidade Federal de Pernambuco
… With the application of Goffman’s method the Conditional Probabilities of Intercommunication between the Departments are fixed, the elements used for the calculations being the subjects chosen by the readers, in a list previously prepared and included in the questionnaire
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Linear discriminant analysis
… levels: (1.1) (a) with loss functions and prior probabilities, (b) without loss functions but with prior probabilities, (c) with neither. The first level leads to consideration of risks which may be split into two components, one for each type of misclassification, i.e. classification of an …
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Water Level Quantiles Of Devils Lake Under Down-Scaled Gcm Predictions Using A Coupled Hydro-Climatic Model
… volume) are sorted and analyzed to obtain the probabilities and return periods of extreme flood events. The Bulletin 17B recommended LP3 method along with Gaussian/Normal, Lognormal and Gamma/Pearson type 3 distributions are applied for comparison purposes. The Log-Normal probability …
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Delay analysis of Pacific Fleet Underway Replenishments
… are discussed. A method, based on the use of conditional probabilities and Bayes' Theorem, of predicting a delay occurrence prior to an UNREP when the UNREP attributes are known is presented
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Risk arbitrage : analysis and trading systems
… as described in past work. We also estimate conditional probabilities of a merger's success, using a deal characteristic-driven prediction model, and combine it with market-implied probabilities. Our analysis suggests that the probability of success of a merger depends on a deal's …
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Modeling with bivariate geometric distributions
… body. It was found that such a system, using conditional arguments, can be characterized as multivariate geometric distributions. It was proved that these characterizations of the geometric models can be achieved using conditional probabilities, conditional failure rates, or probability …
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Model-based Cluster Analysis Using Variables Characterizing Types of Democracy
… shows that most of the countries have high conditional probabilities of belonging to their respective groups, and the solution is found to be quite stable with respect to possible measurement error in the variables included in the model. The model for the recent period finds (except for for …
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The Doubly Inflated Poisson and Related Regression Models
… properties such as identifiability, moments, and conditional probabilities are also discussed for both probability models. For the data consisting of raw counts as well as grouped frequencies, we have considered parameter estimation using maximum likelihood (ML) and method of moments techniques. …
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Advances in Survival Analysis: Accurate Partial Likelihood Computation by Poisson-Binomial Distributions and Nonparametric Competing Risk Cox Model
… the Cox model, which traditionally approximates conditional probabilities using risk score ratios under a continuous-time assumption. We propose a new accurate partial likelihood computation method based on the Poisson-binomial distribution. Although ties are common in real studies, existing Cox …
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Change in Race and Ethnic Stratification: The Roles of Period, Cohort, Immigrant Generation, Socioeconomic Origins and Gender in Shaping Educational Attainment
… cohorts represented from 1880-1985 to assess the conditional probabilities of high school graduation, college entry and college completion for over 45,000 respondents, 16 different "religio-ethnic" groups and four immigrant generations. My results indicate that gaps in educational attainment …
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UTILIZATION OF MONTE CARLO SIMULATION IN GENERATING CAPACITY PLANNING
… units and utilized to calculate the state probabilities in both Markovian and non-Markovian systems. The results obtained from the simulation method are compared with those calculated by analytical methods to determine the effectiveness of simulation. A range of studies for selected unit …
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Robust Domain Adaptation Using Active Learning
… without assuming the equivalence of the class-conditional probabilities across the domains, unlike other domain adaptation methods. This research also proposes a novel data-alignment technique that allows the use of the source model directly on the target if the distributions differ due to a …
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Latent classes of comorbid clinical presentations for patients with psychogenic non-epileptic seizures
… better than that of Study 1. Study 3 utilized conditional probabilities of the Mixed Presentation class to significantly predict healthcare utilization over time while statistically controlling for time-, patient-, and provider-level covariates via multilevel models. This finding was robust to …
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Interactive visualizations to improve Bayesian reasoning
… Bayes’ Theorem often reason quite poorly with conditional probabilities due to various cognitive biases. As such, this dissertation chronicles the development and evaluation of an interactive visualization designed to aid Bayes-naïve people in solving conditional probability problems, in part …
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Real-time process plant fault diagnosis
… From these probability values, the a priori probabilities of occurrence of other events are evaluated. A top-down recursive algorithm, called TDRA, for evaluating the probability of every event in a fault tree has been developed. From the a priori probabilities, the conditional probabilities …
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Blunt Force Trauma to the Ribs: Creating Predictive Models
… employed to understand variable relationships. Conditional probabilities were calculated to provide probabilistic statements. Additionally, random forest analysis was conducted to classify location and type of fracture based on covariates. A total of 24, 853 fractures were recorded. The most …
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Probabilistic Resilience Quantification and Visualization Building Performance to Hurricane Wind Speeds
… parameters such as structural loss ratios and conditional probabilities of exceedance for damage states, estimated and actual recovery times, and wind speed probability. The proposed formulation is applicable to a community consisting of buildings with different types besides being applicable …
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Monitoring Markov Dependent Binary Observations with a Log-Likelihood Ratio Based CUSUM Control Chart
… of dependence, , at most different values of conditional probabilities of observing a 1 can be assigned. So the number of levels is always less than or equal to . Compared to a direct extension of the first-order Markov model to higher orders, our model is considerably parsimonious. The number …
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