Publication

Models capturing latent constructs

Michel Bierlaire
2011
Talks

Abstract

In the context of the development of hybrid choice models (HCM), we are interested in understanding better how to design models which can account for the latent information contained in new data types (psychometrics, data from smartphones, etc.) for which there is a growing interest. Conversely, we also focus on establishing learnings from these models in order to better design surveys which are adapted to these new data.

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Michel Bierlaire
2011
Talks

Abstract

Official source

Related concepts (27)

Data type

In computer science and computer programming, a data type (or simply type) is a collection or grouping of data values, usually specified by a set of possible values, a set of allowed operations on these values, and/or a representation of these values as machine types. A data type specification in a program constrains the possible values that an expression, such as a variable or a function call, might take. On literal data, it tells the compiler or interpreter how the programmer intends to use the data.

Primitive data type

In computer science, primitive data types are a set of basic data types from which all other data types are constructed. Specifically it often refers to the limited set of data representations in use by a particular processor, which all compiled programs must use. Most processors support a similar set of primitive data types, although the specific representations vary. More generally, "primitive data types" may refer to the standard data types built into a programming language (built-in types).

Recursive data type

In computer programming languages, a recursive data type (also known as a recursively-defined, inductively-defined or inductive data type) is a data type for values that may contain other values of the same type. Data of recursive types are usually viewed as directed graphs. An important application of recursion in computer science is in defining dynamic data structures such as Lists and Trees. Recursive data structures can dynamically grow to an arbitrarily large size in response to runtime requirements; in contrast, a static array's size requirements must be set at compile time.

Related publications (1)

Models capturing latent constructs

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On Counter-Example Complete Verification for Higher-Order Functions