A5102952749- Insurance and Financial Risk Management
- Insurance, Mortality, Demography, Risk Management
- Law, Economics, and Judicial Systems
- Video Surveillance and Tracking Methods
- Computer Graphics and Visualization Techniques
- Generative Adversarial Networks and Image Synthesis
- Optical measurement and interference techniques
- Healthcare Policy and Management
- Advanced Vision and Imaging
- Image Enhancement Techniques
- Agricultural risk and resilience
- Adhesion, Friction, and Surface Interactions
- Dermatology and Skin Diseases
- Coronary Interventions and Diagnostics
- Allergic Rhinitis and Sensitization
- Mechanical stress and fatigue analysis
- Numerical methods in engineering
- Atherosclerosis and Cardiovascular Diseases
- Financial Literacy, Pension, Retirement Analysis
- Distributed Control Multi-Agent Systems
- Tissue Engineering and Regenerative Medicine
- Railway Engineering and Dynamics
- Housing Market and Economics
- Stability and Control of Uncertain Systems
- Retirement, Disability, and Employment
Western Illinois University
2011-2025
Xuzhou Medical College
2023
Southwest Jiaotong University
2021
Nanjing University of Science and Technology
2017
Georgia State University
2009
Shanghai Jiao Tong University
2007
Purpose This paper adds to finance pedagogy related the wealth accumulation stage of retirement planning using techniques that rely heavily on understanding time value money (TVM) concepts. Design/methodology/approach We provide a step-by-step explanation model, accompanied by detailed numerical example ready for use in classroom. Findings present systematic approach estimate nest egg and target return required achieve egg. The estimated is suggested as primary determinant an investor’s...
In this paper, we study the challenging problem of simultaneously removing haze and estimating depth from real monocular hazy videos. These tasks are inherently complementary: enhanced estimation improves dehazing via atmospheric scattering model (ASM), while superior contributes to more accurate through brightness consistency constraint (BCC). To tackle these intertwined tasks, propose a novel depth-centric learning framework that integrates ASM with BCC constraint. Our key idea is both...
Abstract A semi-analytical model (SAM) to tackle the steady-state elastic frictional rolling contact problem involving composites is presented. Specifically, categorized into two subtypes, namely, normal and tangential problems, conjugate gradient method (CGM) used figure out pressure traction. In SAM, equivalent inclusion (EIM) applied analyze influence of on matrix, displacement disturbance resulting from such added total surface displacement, which implements coupling between composites....
Abstract Background Allergen-specific immunotherapy (AIT) is a causative treatment in allergic rhinitis (AR), comprising long-term allergen administration and over three years of treatment. This study carried out for revealing the mechanisms key genes AIT AR. Methods The present utilized online Gene Expression Omnibus (GEO) microarray expression profiling dataset GSE37157 GSE29521 to analyze hub changes related Based on limma package, differential analysis two groups (samples patients prior...
Purpose – The purpose of this paper is to test for the existence residual moral hazard in three largest US reinsurance markets over period 1995‐2000 and examine effectiveness retention limit, experience rating long‐term contracting relationship controlling hazard.
In this paper, we study the challenging problem of simultaneously removing haze and estimating depth from real monocular hazy videos. These tasks are inherently complementary: enhanced estimation improves dehazing via atmospheric scattering model (ASM), while superior contributes to more accurate through brightness consistency constraint (BCC). To tackle these intertwined tasks, propose a novel depth-centric learning framework that integrates ASM with BCC constraint. Our key idea is both...
Depth completion is a vital task for autonomous driving, as it involves reconstructing the precise 3D geometry of scene from sparse and noisy depth measurements. However, most existing methods either rely only on 2D representations or directly incorporate raw point clouds compensation, which are still insufficient to capture fine-grained scene. To address this challenge, we introduce Tri-Perspective view Decomposition (TPVD), novel framework that can explicitly model geometry. In particular,...
In this paper, we develop a simple economic model to explain how an entrant insurer may suffer the winner’s curse in sense that insurer’s risk pool is less profitable than of incumbent insurer. addition, exploit strategic interactions and pricing dynamics between insurers describe formation insurance underwriting cycle. Empirical tests based on predictions our models are conducted homeowners product liability markets for period 1995-2001. We find (1) present market, but not market; (2)...
Equivalent inclusion method is the basis for semi-analytical models in tackling inhomogeneity problems. eigenstrains are obtained by solving consistency equation system of equivalent and then stress disturbances caused inhomogeneities determined. The can only be solved numerically, but current fixed-point iteration may not able to achieve deep convergence when Young's modulus lower than that matrix material. most significant innovation this paper reveal non-convergence mechanism method....
The foundation of insurance in the frequentist framework is well-understood by experts actuarial science, and risk management. In past two decades there has been a surge application Bayesian analysis insurance. However, under remains unexplored. This paper fills gap investigating setup. We demonstrate that world corresponds to consistency posterior distribution at true parameter value. discuss several key results give examples both parametric nonparametric cases illustrate their applications.
The asymmetric information problem has been widely discussed in the context of insurance markets. Most previous research usually treats adverse selection and moral hazard separately, though it is quite possible that they may coexist interact with each other. In this paper, we build a principal-agent model to examine optimal contracts competitive market facing simultaneously. We apply change-of-variable method Kuhn-Tucker conditions solve optimization programs find there are several forms...
Most of the previous research in asymmetric information problem treats adverse selection and moral hazard separately, though they may coexist interact with each other. We build a principal-agent model to examine optimal contracts competitive insurance market facing simultaneously. apply change-of-variable method Kuhn-Tucker conditions solve optimization programs. Our yields richer separating Nash equilibria than pure models, although not exist some cases. It also retains properties, for...
Most of the previous research in asymmetric information problem treats adverse selection and moral hazard separately, though they may coexist interact with each other. We build a principal-agent model to examine optimal contracts competitive insurance market facing simultaneously. apply change-of-variable method Kuhn-Tucker conditions solve optimization programs. Our yields richer separating Nash equilibria than pure models, although not exist some cases. It also retains properties, for...
This articles re-examines a standard result on the demand for insurance ("full coverage with fair premium and partial loaded premium"') in presence of default risk. It is established that optimal always if total, irrespective whether or loaded. For default, it demonstrated both case might be either full coinsurance, deductible upper-limit insurance.