The Experts below are selected from a list of 267 Experts worldwide ranked by ideXlab platform
Ovidijus Stauskas - One of the best experts on this subject based on the ideXlab platform.
-
on the limit theory of mixed to unity vars panel setting with weakly dependent errors
Journal of Time Series Analysis, 2020Co-Authors: Ovidijus StauskasAbstract:In this paper we re-visit a recent Theoretical Idea introduced by Phillips and Lee (2015). They examine an empirically relevant situation when multiple time series under consideration exhibit different degrees of non-stationarity. By bridging the asymptotic theory of the local to unity and mildly explosive processes, they construct a Wald test for the commonality of the long-run behavior of two series. Therefore, a vector autoregressive (VAR) setup is natural. However, inference is complicated by the fact that the statistic is degenerate under the null and divergent under the alternative. This is true if the parameters of the data generating process are known and re-normalizing function can be constructed. If the parameters are unknown, as is in practice, the test statistic may be divergent even under the null. We solve this problem by converting the original setting of one vector time series in a panel setting with N individual vector series. We consider asymptotics with fixed N and large T and extend the results to sequential asymptotics when T passes to infinity before N. We show that the Wald test statistic converges to nuisance parameter-free Chi-squared distribution under the null hypothesis. (Less)
Robert Mccarl - One of the best experts on this subject based on the ideXlab platform.
-
A preliminary analysis of the Soar architecture as a basis for general intelligence
Artificial Intelligence, 1991Co-Authors: Paul S Rosenbloom, Allen Newell, J.e. E John E Laird, Robert MccarlAbstract:In this article we take a step towards providing an analysis of the Soar architecture as a basis for general intelligence. Included are discussions of the basic assumptions underlying the development of Soar, a description of Soar cast in terms of the Theoretical Idea of multiple levels of description, an example of Soar performing multi-column subtraction, and three analyses of Soar: its natural tasks, the sources of its power, and its scope and limits. © 1991.
Paul S Rosenbloom - One of the best experts on this subject based on the ideXlab platform.
-
A preliminary analysis of the Soar architecture as a basis for general intelligence
1993Co-Authors: Paul S Rosenbloom, Allen NewellAbstract:Rosenbloom, P.S., J.E. Laird, A. Newell and R. McCarl, A primary analysis of the Soar architecture as a basis for general intelligence, Artificial Intelligence 47 (1991) 289-325. In this article we take a step towards providing an analysis of the Soar architecture as a basis for general intelligence. Included are discussions of the basic assumptions underlying the development of Soar, a description of Soar cast in terms of the Theoretical Idea of multiple levels of description, an example of Soar performing multi-column subtraction, and three analyses of Soar: its natural tasks, the sources of its power, and its scope and limits
-
A preliminary analysis of the Soar architecture as a basis for general intelligence
Artificial Intelligence, 1991Co-Authors: Paul S Rosenbloom, Allen Newell, J.e. E John E Laird, Robert MccarlAbstract:In this article we take a step towards providing an analysis of the Soar architecture as a basis for general intelligence. Included are discussions of the basic assumptions underlying the development of Soar, a description of Soar cast in terms of the Theoretical Idea of multiple levels of description, an example of Soar performing multi-column subtraction, and three analyses of Soar: its natural tasks, the sources of its power, and its scope and limits. © 1991.
Allen Newell - One of the best experts on this subject based on the ideXlab platform.
-
A preliminary analysis of the Soar architecture as a basis for general intelligence
1993Co-Authors: Paul S Rosenbloom, Allen NewellAbstract:Rosenbloom, P.S., J.E. Laird, A. Newell and R. McCarl, A primary analysis of the Soar architecture as a basis for general intelligence, Artificial Intelligence 47 (1991) 289-325. In this article we take a step towards providing an analysis of the Soar architecture as a basis for general intelligence. Included are discussions of the basic assumptions underlying the development of Soar, a description of Soar cast in terms of the Theoretical Idea of multiple levels of description, an example of Soar performing multi-column subtraction, and three analyses of Soar: its natural tasks, the sources of its power, and its scope and limits
-
A preliminary analysis of the Soar architecture as a basis for general intelligence
Artificial Intelligence, 1991Co-Authors: Paul S Rosenbloom, Allen Newell, J.e. E John E Laird, Robert MccarlAbstract:In this article we take a step towards providing an analysis of the Soar architecture as a basis for general intelligence. Included are discussions of the basic assumptions underlying the development of Soar, a description of Soar cast in terms of the Theoretical Idea of multiple levels of description, an example of Soar performing multi-column subtraction, and three analyses of Soar: its natural tasks, the sources of its power, and its scope and limits. © 1991.
Jan Pieter Krahnen - One of the best experts on this subject based on the ideXlab platform.
-
is relationship lending special evidence from credit file data in germany
Journal of Banking and Finance, 1998Co-Authors: Ralf Elsas, Jan Pieter KrahnenAbstract:The German financial market is often characterized as a bank-based system with strong bank–customer relationships. The corresponding notion of a housebank is closely related to the Theoretical Idea of relationship lending. It is the objective of this paper to provide a direct comparison between housebanks and “normal” banks as to their credit policy. Therefore, we analyze a new data set, representing a random sample of borrowers drawn from the credit portfolios of five leading German banks over a period of five years. We use credit-file data rather than industry survey data and, thus, focus the analysis on information that is directly related to actual credit decisions. In particular, we use bank-internal borrower rating data to evaluate borrower quality, and the bank’s own assessment of its housebank status to control for information-intensive relationships. The major results of our study support the view that housebanks are able to establish a distinct behavioral pattern consistent with the Idea of long-term commitment. We find that housebanks do provide liquidity insurance in situations of unexpected deterioration of borrower ratings. With respect to loan pricing, we find no evidence for intra- or intertemporal price differentiation related to housebanking.
-
is relationship lending special evidence from credit file data in germany
1998Co-Authors: Ralf Elsas, Jan Pieter KrahnenAbstract:The German financial market is often characterized as a bank-based system with strong bank-customer relationships. The corresponding notion of a housebank is closely related to the Theoretical Idea of relationship lending. It is the objective of this paper to provide a direct comparison between housebanks and normal banks as to their credit policy. Therefore, we analyze a new data set, representing a random sample of borrowers drawn from the credit portfolios of five leading German banks over a period of five years. We use credit-file data rather than industry survey data and, thus, focus the analysis on information that is directly related to actual credit decisions. In particular, we use bank-internal borrower rating data to evaluate borrower quality, and the bank's own assessment of its housebank status to control for information-intensive relationships.
