Random Processes With Specified Spectral Density and First-Order Probability Density

1983 ◽  
Vol 62 (3) ◽  
pp. 679-701 ◽  
Author(s):  
M. M. Sondhi
Keyword(s):  
Spectral Density ◽  
Probability Density ◽  
Random Processes ◽  
First Order ◽  
Order Probability

Representation of symmetric probability models

1969 ◽  
Vol 34 (2) ◽  
pp. 183-193 ◽  
Author(s):  
Peter H. Krauss
Keyword(s):  
Mathematical Theory ◽  
Preceding Paper ◽  
Probability Logic ◽  
Probability Models ◽  
Additional Material ◽  
First Order ◽  
Order Probability ◽  
Joint Publication

This paper is a sequel to the joint publication of Scott and Krauss [8] in which the first aspects of a mathematical theory are developed which might be called “First Order Probability Logic”. No attempt will be made to present this additional material in a self-contained form. We will use the same notation and terminology as introduced and explained in Scott and Krauss [8], and we will frequently refer to the theorems stated and proved in the preceding paper.

Intertextual Precision Expectations

2019 ◽  
pp. 107-116
Author(s):  
Karin Kukkonen
Keyword(s):  
Third Order ◽  
Structural Patterns ◽  
First Order ◽  
The Third ◽  
Order Probability

In the chapters that follow, the third-order probability design is developed. The third-order probability design revolves around how expectations about second- and first-order predictions are developed through structural patterns yielded by genre (III.1), textual gaps and shadow stories (III.2), and intertextual references to unfamiliar texts (III.3). The final chapter of the section, then, traces the tension between flexibility and constraint in probability designs.

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