A5061681354- Financial Risk and Volatility Modeling
- Business and Management Studies
- Infective Endocarditis Diagnosis and Management
- Antimicrobial Resistance in Staphylococcus
- Statistical Distribution Estimation and Applications
- Acute Myocardial Infarction Research
- Streptococcal Infections and Treatments
- Monetary Policy and Economic Impact
- Agricultural and Food Sciences
- Cardiac Valve Diseases and Treatments
- Stochastic processes and statistical mechanics
- Market Dynamics and Volatility
- Geography and Environmental Studies
- Muscle and Compartmental Disorders
- Elasticity and Material Modeling
- Pressure Ulcer Prevention and Management
- Statistical Methods and Applications
- Body Contouring and Surgery
- Lung Cancer Diagnosis and Treatment
- Statistical Methods in Epidemiology
- Mechanical Circulatory Support Devices
- Balance, Gait, and Falls Prevention
- Academic Research in Diverse Fields
- Artificial Intelligence in Healthcare
- Probability and Risk Models
Texas A&M University School of Law
2025
Bryan College
2023
Texas A&M University
2023
Universidade do Porto
2005-2012
Hospital Curry Cabral
2009-2010
Summary A fundamental issue in applied multivariate extreme value analysis is modelling dependence within joint tail regions. The primary focus of this work to extend the classical pseudopolar treatment extremes develop an asymptotically motivated representation extremal that also encompasses asymptotic independence. Starting with usual mild bivariate regular variation assumptions underpin coefficient as a measure dependence, our main result characterization limiting structure survivor...
We review the current state of statistical modeling asymptotically independent data. Our discussion includes necessary and sufficient conditions for asymptotic independence, results on independence statistics interest, estimation inference issues, joint tail modeling, conditional approaches. For each these topics we give an account existing approaches relevant methods data analysis applications.
An alternative limiting point process to that of de Haan (1985 , L. ( 1985 ). Extremes in higher dimensions: the model and some statistics. Proc. 45th Sess. Int. Statist. Inst. Paper 26.3. The Hague: International Statistical Institute . [Google Scholar]) is studied holds regardless whether underlying data generation mechanism asymptotically dependent or independent. We characterize its intensity function terms coefficient tail dependence an angular measure which satisfies a normalisation...
We report a case of 55-year-old male with history methicillin-resistant staphylococcus aureus bacteremia whose initial transesophageal echocardiography revealed cardiac mass attached to the right atrium. Because uncommon location mass, 18F-fluorodeoxyglucose-PET was used confirm diagnosis infective endocarditis.