Joseph Sung

Finance · 2014

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Joseph Sung trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Alain Bensoussan
  2. Jean-Michel Lasry
  3. Minyi Huang
  4. Peter E. Caines
  5. Pierre-Louis Lions
  6. Olivier Guéant

Who trusts Joseph Sung overall

  1. Daniel Lacker
  2. René A. Carmona
  3. P. J. Graber
  4. François Delarue

Papers from Joseph Sung's perspective

Ordered by how strongly the researchers Joseph Sung trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Large population stochastic dynamic games: closed-loop McKean-Vlasov systems and the Nash certainty equivalence principle
  2. A reference case for mean field games models
  3. Large-Population LQG Games Involving a Major Player: The Nash Certainty Equivalence Principle (SIAM Journal of Control and Optimization)
  4. Mean-field backward stochastic differential equations and related partial differential equations
  5. Mean Field Games and Applications
  6. Individual and mass behaviour in large population stochastic wireless power control problems: centralized and Nash equilibrium solutions (42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475))
  7. Forward-Backward Stochastic Differential Equations and their Applications
  8. Mean Field Analysis of Controlled Cucker-Smale Type Flocking: Linear Analysis and Perturbation Equations
  9. Risk-sensitive mean field stochastic differential games
  10. Well-posedness of mean-field type forward–backward stochastic differential equations

Their papers