Practical Approaches to Causal Relationship Exploration
(Sprache: Englisch)
This brief presents four practical methods to effectively explore causal relationships, which are often used for explanation, prediction and decision making in medicine, epidemiology, biology, economics, physics and social sciences. The first two methods...
Voraussichtlich lieferbar in 3 Tag(en)
versandkostenfrei
Buch (Kartoniert)
53.49 €
26 DeutschlandCard Punkte
sammeln
- Lastschrift, Kreditkarte, Paypal, Rechnung
- Kostenlose Rücksendung
- Ratenzahlung möglich
Produktdetails
Produktinformationen zu „Practical Approaches to Causal Relationship Exploration “
Klappentext zu „Practical Approaches to Causal Relationship Exploration “
This brief presents four practical methods to effectively explore causal relationships, which are often used for explanation, prediction and decision making in medicine, epidemiology, biology, economics, physics and social sciences. The first two methods apply conditional independence tests for causal discovery. The last two methods employ association rule mining for efficient causal hypothesis generation, and a partial association test and retrospective cohort study for validating the hypotheses. All four methods are innovative and effective in identifying potential causal relationships around a given target, and each has its own strength and weakness. For each method, a software tool is provided along with examples demonstrating its use. Practical Approaches to Causal Relationship Exploration is designed for researchers and practitioners working in the areas of artificial intelligence, machine learning, data mining, and biomedical research. The material also benefits advanced students interested in causal relationship discovery.
Inhaltsverzeichnis zu „Practical Approaches to Causal Relationship Exploration “
Introduction.- Local causal discovery with a simple PC algorithm.- A local causal discovery algorithm for high dimensional data.- Causal rule discovery with partial association test.- Causal rule discovery with cohort studies.- Experimental comparison and discussions.
Bibliographische Angaben
- Autoren: Jiuyong Li , Lin Liu , Thuc Duy Le
- 2015, 2015, X, 80 Seiten, Maße: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Verlag: Springer, Berlin
- ISBN-10: 3319144324
- ISBN-13: 9783319144320
- Erscheinungsdatum: 25.03.2015
Sprache:
Englisch
Kommentar zu "Practical Approaches to Causal Relationship Exploration"
0 Gebrauchte Artikel zu „Practical Approaches to Causal Relationship Exploration“
| Zustand | Preis | Porto | Zahlung | Verkäufer | Rating |
|---|
Schreiben Sie einen Kommentar zu "Practical Approaches to Causal Relationship Exploration".
Kommentar verfassen