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Game
- Class in
gametheory
Contains all the information for a discrete game of complete information: actions, payoffs, importance games, and equilibria.
Game(int, int)
- Constructor for class gametheory.
Game
Creates a new instance of Game
GameMinimization
- Class in
gametheory
Class to perform the optimization of the GMM function on real auction entry data.
GameMinimization(ArrayList<Game>)
- Constructor for class gametheory.
GameMinimization
Creates a new instance of GameMinimization
GameMinimizationPrivateInformation
- Class in
gametheory
Private information version of discrete game used to find starting values in the complete information game.
GameMinimizationPrivateInformation(ArrayList<Game>)
- Constructor for class gametheory.
GameMinimizationPrivateInformation
Creates a new instance of GameMinimizationPrivateInformation
gametheory
- package gametheory
Contains code for estimating the entry into auctions application in Bajari, Hong, and Ryan (2009).
GameTheoryConstants
- Class in
gametheory
static public class containing package-wide constants.
GameTheoryConstants()
- Constructor for class gametheory.
GameTheoryConstants
GameTheoryGUI
- Class in
gametheory
GUI frontend and control logic for the estimation procedure in Bajari, Hong, and Ryan (2009).
GameTheoryGUI()
- Constructor for class gametheory.
GameTheoryGUI
Creates new form GameTheoryGUI
generateEmptyPayoffList()
- Method in class gametheory.
Game
Creates a new, empty payoff list.
generateImportanceGames()
- Method in class gametheory.
GameTheoryGUI
Generate importance games for the estimation.
GenerateImportanceGameTask
- Class in
gametheory
Task to calculate equilibria to an importance game.
GenerateImportanceGameTask(Game, int)
- Constructor for class gametheory.
GenerateImportanceGameTask
Creates a new instance of GenerateImportanceGameTask
GenerateMonteCarloTask
- Class in
gametheory
Generates a Monte Carlo game, solving all the equilibria.
GenerateMonteCarloTask(int)
- Constructor for class gametheory.
GenerateMonteCarloTask
Creates a new instance of GenerateImportanceGameTask
GenerateRecursiveList
- Class in
gametheory
Generates the full enumeration of all possible outcomes, given a number of players and a number of actions they can choose.
GenerateRecursiveList(int, int)
- Constructor for class gametheory.
GenerateRecursiveList
Creates a new instance of GenerateRecursiveList
GenerateRecursiveList(int)
- Constructor for class gametheory.
GenerateRecursiveList
Recursive method to construct the set of outcomes.
getActionList()
- Method in class gametheory.
Game
Get list of actions.
getChain()
- Method in class mcmcSolver.
gibbsLTEGeneralizedQuiet
Returns the MCMC chain generated by the LTE procedure.
getCombinations()
- Method in class gametheory.
GenerateRecursiveList
Obtain the combinatoric list of outcomes.
getDominatedEnumeration()
- Method in class gametheory.
Game
Get enumeration of dominated strategies.
getEfficientIndex()
- Method in class gametheory.
Game
Get index of the efficient equilibrium.
getEquilibria()
- Method in class gametheory.
Game
Obtain the set of equilibria associated with this game.
getExpectedValueEquilibrium(int)
- Method in class gametheory.
Game
Computes the expected value of an equilibrium; used for finding the efficient equilibrium in the set.
getExpectedValueEquilibrium(int, int)
- Method in class gametheory.
Game
Calculate the expected value of a particular equilibrium for a specific player.
getGameList()
- Method in class gametheory.
ReadInData
Returns game list.
getHQRatio(double[], ArrayList<Matrix>)
- Method in class gametheory.
Game
Computes the importance weight for the current game.
getImportanceGamesList()
- Method in class gametheory.
Game
Get the importance games list.
getLambda(int, double[])
- Method in class gametheory.
Game
Computes the probability of an equilibrium being selected in a play of the game.
getLowestPoint()
- Method in class mcmcSolver.
gibbsLTEGeneralizedQuiet
Returns the lowest point found during the LTE procedure.
getNumActions()
- Method in class gametheory.
Game
Get the number of actions.
getNumMixedEqu()
- Method in class gametheory.
Game
Get the number of mixed strategy equilibria.
getNumPlayers()
- Method in class gametheory.
Game
Get number of players.
getNumPureEqu()
- Method in class gametheory.
Game
Get the number of pure strategy equilibria.
getOutcome()
- Method in class gametheory.
Game
Get the simulated outcome.
getPayoffList()
- Method in class gametheory.
Game
Get deterministic payoff list.
getProbabilityAction(int, double[])
- Method in class gametheory.
Game
Compute a single moment for this game.
getPureEnumeration()
- Method in class gametheory.
Game
Get enumeration of pure strategies.
getSimulatedOutcome()
- Method in class gametheory.
Game
Simulate an outcome from the game.
getUtilitiesFlatString()
- Method in class gametheory.
Game
Returns string form of utilityList.
getUtilityList()
- Method in class gametheory.
Game
Get the utility list.
gibbsLTEGeneralizedQuiet
- Class in
mcmcSolver
Implementation of the LTE optimization/estimation method proposed in Chernozhukov and Hong (2003).
gibbsLTEGeneralizedQuiet(mcmcFunction, int, int, double[])
- Constructor for class mcmcSolver.
gibbsLTEGeneralizedQuiet
Constructor for LTE class.
gradient(double[], double[])
- Method in class gametheory.
GameMinimization
User-supplied gradient for Uncmin.
gradient(double[], double[])
- Method in class gametheory.
GameMinimizationPrivateInformation
User-supplied gradient, not used.
gradient(double[], double[])
- Method in interface newtonSolver.
Uncmin_methods
User-supplied gradients.
graph()
- Method in class gametheory.
GameTheoryGUI
Method that graphs the GMM objective function with respect to one parameter.
graphPanel
- Variable in class gametheory.
GameTheoryGUI
grdchk_f77(int, double[], Uncmin_methods, double[], double[], double[], double[], double[], double, double, double[])
- Method in class newtonSolver.
Uncmin_f77
The grdchk_f77 method checks the analytic gradient supplied by the user.
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