Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 14 of 14 for “"recursive partitioning"”.
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The introduction and application of recursive partitioning methods in organizational science
… study examined an alternative, nonparametric recursive partitioning method – Classification and Regression Trees (CART), and its advanced successor, random forests. Results from two Monte Carlo simulations (Study 1 and 2) showed that random forests consistently produced comparable predictive …
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The use of recursive partitioning to build a financial distress prediction for JSE listed companies
… the fact. This research paper investigates using recursive partitioning to predict financially distressed companies on the Johannesburg Stock Exchange, taking different business cycle periods into account over the time period 1997-2014. The updated as well as longer time period over which the …
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ΑΛΓΟΡΙΘΜΟΙ ΔΙΑΜΕΛΙΣΜΟΥ ΓΡΑΜΜΙΚΗΣ ΕΚΤΙΜΗΣΗΣ-ΣΥΓΚΡΙΤΙΚΗ ΥΠΟΛΟΓΙΣΤΙΚΗ ΑΝΑΛΥΣΗ
THIS THESIS IS DEALING WITH LINEAR ESTIMATION PARTITIONING ALGORITHMS, FOR DISCRETE TIME SYSTEMS. FOUR NEW RECURSIVE PER- SAMPLE PARTITIONING ESTIMATION ALGORITHMS ARE INITIALY PRESENTED, AND THE RELATED MERITS, WITH RESPECT TO THEIR COMPUTATIONAL REQUIREMENTS ARE EXAMINED AGAINST THREE OTHER …
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Advanced Statistical Learning Methods in Image Processing
… method called Compression through Adaptive Recursive Partitioning (CARP) to compress m-dimensional images in a unified fashion. CARP uses an optimal permutation of the image pixels inferred from a Bayesian probabilistic model on recursive partitions of the image to reduce its effective …
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Utilizing data mining techniques and ensemble learning to predict development of surgical site infections in gynecologic cancer patients
… include logistic regression, naive Bayes, recursive partitioning and regression trees, random forest, feed forward neural network, k-nearest neighbor, and support vector machines with linear kernel. Weighted stacked generalization was implemented to improve upon the individual base level …
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Risk prediction models for binary response variables for the coronary bypass operation
… regression analyses and classification trees (recursive partitioning) were used with the variables identified by the Health Data Research Institute in Portland, Oregon. The data set contains records for 18171 patients who had coronary artery bypass surgery in one of several hospitals between …
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A comparative analysis of machine learning algorithms for genome wide association studies
… GWAS datasets. The methods used for analysis are Recursive Partitioning, Logistic Regression and Naive Bayes Classifier. The classification accuracy of these algorithms is calculated in terms of area under the receiver operating characteristic curve (AUC). Conclusively, the logistic regression …
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An assessment and comparison of bankruptcy prediction models in forecasting the financial distress of JSE-listed companies over a twenty-year period (2000 to 2020)
… multiple discriminant analysis, logit, probit, recursive partitioning and non-financial models. What was particularly noteworthy in this research was the inclusion of models developed by South African researchers in the model set. In respect of the multiple discriminant analysis, logit and …
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Data, models and decisions for large-scale stochastic optimization problems
… decisions. We develop a simple method based on recursive partitioning that segments customers using their attributes and show that it improves on a "uniform" approach that ignores auxiliary customer information.
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Advances in Bayesian Hierarchical Modeling with Tree-based Methods
… framework for causal inference through Bayesian recursive partitioning that allows joint modeling of the covariate balancing and the potential outcome. With a retrospective perspective, we model the covariates and the outcome conditioning on the treatment assignment status. For the challenging …
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Topics in conditional causal inference
… estimating CATEs. In Chapter 5, we introduce a recursive partitioning method that can convert any black-box CATE estimates into interpretable subgroups. Our method uses a distribution-free technique called conformal prediction to quantify the uncertainties in CATE estimates, then leverage the …
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Retrospective validation of the San Francisco Syncope Rule for prediction of short-term serious outcomes in adult syncope patients
… the rule yielded a preliminary decision rule by recursive partitioning with 3 variables: (1) Age ≥ 65 years, (2) Lowest emergency department systolic blood pressure < 80 mm of Hg and (3) abnormal electrocardiogram [defined as non-sinus rhythm (supraventricular tachycardia, multifocal atrial …