Research Interests

Stochastic Differential Inference (SDI)

Models

  • Discretely Observed Diffusions
  • Stochastic Differential Equations
  • Semimartingales and Levy driven SDEs
  • SDEs driven by Fractional Brownian Motion
  • Stochastic Filtering and Stochastic Volatility Models
  • Anticipative Stochastic Differential Equations
  • Stochastic Partial Differential Equations
  • Stochastic Navier-Stokes Equation, KPZ Equation
  • Interacting Particle Systems, Superdiffusions

Methods

  • Higher-Order Asymptotics
  • Sequential Methods
  • Monte Carlo Methods
  • Particle Filters
    (Sequential Monte Carlo)
  • Bayesian Methods
  • Nonparametric Methods
  • Semiparametric Methods
  • Sieve Methods
  • Bootstrap Methods
  • Robust Methods
  • Asymptotic Equivalence
  • Hypothesis Testing

Mathematical Finance and Financial Econometrics

  • Computational Finance
  • Term Structure of Interest Rates
  • Asset Pricing, Options Pricing and Hedging
  • Fractional Brownian Motion in Finance
  • Lattice Methods for Derivatives Pricing
  • Weak Convergence of Financial Markets
  • Real Options in Corporate Finance
  • Risk Management and Insurance
  • Valuation and Estimation of Credit Risk
  • Extreme Value Theory
  • Incomplete Markets
  • High-Frequency Data
  • Market Microstructure
  • Stochastic Volatility
  • Hawkes Process in Finance

Stochastic Analysis and Probability

  • Diffusions in Random Environments
  • Berry-Esseen Theorems and Large Deviations
  • Stochastic Numerical Analysis
  • Fractional Stochastic Calculus
  • Malliavin Calculus
  • Anticipative Stochastic Calculus

Mathematical Biology

  • Nonlinear SPDE in Neurobiology
  • Gomperz Diffusion Models for Tumor Growth
  • Sub-diffusion Models for Nanoscale Biophysics
  • SPDE with Jumps for Neurons