搜索结果: 1-15 共查到“管理学 partial”相关记录26条 . 查询时间(0.075 秒)
A Primal Condition for Approachability with Partial Monitoring
Primal Condition Approachability with Partial Monitoring
2013/6/17
In approachability with full monitoring there are two types of conditions that are known to be equivalent for convex sets: a primal and a dual condition. The primal one is of the form: a set C is appr...
For the evaluation of information flow in bivariate time series, information measures have been employed, such as the transfer entropy (TE), the symbolic transfer entropy (STE), defined similarly to T...
Robust approachability and regret minimization in games with partial monitoring
Robust approachability regret games partial monitoring
2011/6/20
Approachability has become a standard tool in analyzing learning algorithms in the adversarial
online learning setup. We develop a variant of approachability for games where there is ambiguity
in th...
A New Class of Backward Stochastic Partial Differential Equations with Jumps and Applications
Backward Stochastic Partial Differential Equations with Jumps High-Order Partial Differential Operator Vector Partial Differential Equation Existence and Uniqueness Random Environment
2011/6/21
We formulate a new class of stochastic partial differential equations (SPDEs), named
high-order vector backward SPDEs (B-SPDEs) with jumps, which allow the high-order
integral-partial differential o...
Toward a Classification of Finite Partial-Monitoring Games
Online algorithms Online learning Imperfect feedback Regret analysis
2011/3/25
Partial-monitoring games constitute a mathematical framework for sequential decision making problems with imperfect feedback: The learner repeatedly chooses an action, opponent responds with an outcom...
The Degrees of Freedom of Partial Least Squares Regression
regression model selection Partial Least Squares Degrees of Freedom
2010/3/10
The derivation of statistical properties for Partial Least Squares regression
can be a challenging task. The reason is that the construction of latent compo-
nents from the predictor variables also ...
Kernel Partial Least Squares is Universally Consistent
Kernel Partial Least Squares Universally Consistent
2010/3/18
We prove the statistical consistency of kernel Partial Least Squares
Regression applied to a bounded regression learning problem on a re-
producing kernel Hilbert space. Partial Least Squares stands...
A functional limit theorem for partial sums of dependent random variables with infinite variance
convergence in distribution functional limit the-orem GARCH mixing moving average partial sum point processes reg-ular variation
2010/3/9
Under an appropriate regular variation condition, the affinely
normalized partial sums of a sequence of independent and identically dis-
tributed random variables converges weakly to a non-Gaussian ...
On sequential Monte Carlo，partial rejection control and approximate Bayesian computation
Approximate Bayesian computation Bayesian computation Likelihood free inference Sequential Monte Carlo samplers
2010/4/30
We present a sequential Monte Carlo sampler variant of the partial rejection
control algorithm, and show that this variant can be considered as a sequential
Monte Carlo sampler with a modified mutat...
Weak convergence to the Brownian motion of the partial sums of infima of independent random variables
Weak convergence the Brownian motion independent random variables
2009/9/23
Weak convergence to the Brownian motion of the partial sums of infima of independent random variables。
Conditioned functional central limit theorem for random partial sums
Conditioned functional central limit theorem random partial sums
2009/9/23
Conditioned functional central limit theorem for random partial sums。
On complete convergence for partial sums of independent identically distributed random variables
complete convergence independent identically distributed random variables
2009/9/23
On complete convergence for partial sums of independent identically distributed random variables。
On the rate of convergence to Brownian motion of the partial sums of infima of independent random variables
the rate of convergence to Brownian motion the partial sums of infima
2009/9/23
On the rate of convergence to Brownian motion of the partial sums of infima of independent random variables。
Bayesian encompassing specification test under not completely known partial observability
Bayesian encompassing Bayesian specication test Dirichlet prior Partial observability
2009/9/22
This paper proposes the construction of a Bayesian specication test
based on the encompassing principle for the case of partial observability of latent
variables. A structural parametric model (null...
Almost sure and moment stability of stochastic partial differential equations
Stochastic partial differenflal equation almost sure stability moment stability
2009/9/21
We study thc almost sure and moment srabilily of
a claxs of srachnstic partial diflerential t?quations and we present an
ioFmite4imansiond vesion of a theorem proved fix stochmastic ordinary
diffcr...