We present a new implementation of the commonly used Box-fitting Least Squares (BLS) algorithm, for detection transiting exoplanets in photometric data. Unlike BLS, our - Sparse BLS (SBLS), does not use binning data into phase bins, nor it any kind grid. Thus, its efficiency depend on transit phase, and is therefore slightly better than that BLS. For sparse data, also significantly faster It pe...

New expressions are derived for the mean weight misadjustment in the recursive least squares (RLS) algorithm for first-order Markov channel estimation. The expressions derived are general in that they take into account the correlation in the input. It is sbown that the additive system noise is amplified by a correlation amplification factor that is defined as a function of the input autocorrela...

In this paper we present a new technique to obtain estimators for parameters of ergodic processes. When a diffusion is ergodic its transition density converges to the invariant density [1]. This convergence enabled us to introduce a sample partitioning technique that gives, in each sub-sample, observations that can be treated as independent and identically distributed. Within this framework, is...

We study Markov-perfect Nash equilibria (MPNE) of a Ramsey-Cass-Koopmans economy in which households are aware of their influence on prices. The Ramsey conjecture fails to hold such that households other than the most patient one own positive wealth in the steady state. This confirms results that have been derived in the same model using an openloop equilibrium concept. In contrast to the compe...

In order to achieve efficient supply chain integration for the processes or activities; the organisations should recognise and understand all the integration challenges of supply chain and the relations between those challenges. Our goal in this paper is to construct a novel statistical model that explores all challenges of supply chain integration and the relations between them. In this paper,...