… Tailor-made Malliavin calculus for the Markov chain p … Ñ Md (the set of dˆd matrices) two
measurable functions, we define the forward diffusion process X as the solution to the following …

… methods, which are efficient and support more complex inferences but can be applied only
to … shows the autocorrelation functions for the slowest components of the chains, and where …

… an elementary guide to the differential calculus and its application to … We consider some
common functions such as the … The “unbiased” estimate of the variance u 2 of the population is …

… , there are infinitely many functions that satisfy the constraints. … We achieve this by applying
an identity of vector calculus (the … (or unbiased) gradient, we explore two complex pose …

Mathematical refractive thinking ability must be given in every lecture because it is needed
in decision making. This study aims to produce a quality mathematical refractive thinking …

… , the channels of trade also became more complex. The complexity of international trade …
and helping expansion of global supply chains. The development of information technology …

… polynomial are an unbiased estimator for the exact roots. … of complex differential calculus.
This evolution of classical … complex functions of complex variable and functions from R2 …

… the tensor, we define a determinant functor on the 2-multicategory of … functor for triangulated
categories whose multiexactness properties are conveniently captured by a certain complex …

… the network calculus method is the use of specific functions to … Initially, network calculus was
developed for the analysis of … , the sample mean is an unbiased consistent estimation of the …

… , continuous-time Markov chains. System statistics of these Markov chains usually cannot be
… The main advantage of this algorithm is that it can be used to produce unbiased estimates …