Veli‐Pekka Parkkinen
Biographic Data
| ID | 6698987 |
|---|---|
| NAME | Veli‐Pekka Parkkinen |
| GIVEN NAMES | Veli‐Pekka |
| FAMILY NAME | Parkkinen |
| SIGNATURE | PARKKINEN V P |
| AFFILIATIONS | University of Bergen |
| VERIFIED | No |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 6 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2013 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 2 |
Robustness and Model Selection in Configurational Causal Modeling
In recent years, proponents of configurational comparative methods (CCMs) have advanced various dimensions of robustness as instrumental to model selection. But these robustness considerations have not led to computable robustness measures, and they have typically been applied to the analysis of real-life data with unknown underlying causal structures, rendering it impossible to determine exactly how they influence the correctness of selected mod…
Variable relativity of causation is good
Interventionism is a theory of causation with a pragmatic goal: to define causal concepts that are useful for reasoning about how things could, in principle, be purposely manipulated. In its original presentation, Woodward’s (2003) interventionist definition of causation is relativized to an analyzed variable set. In Woodward (2008), Woodward changes the definition of the most general interventionist notion of cause, contributing cause, so that i…
Extrapolation and the Russo–Williamson thesis
A particular tradition in medicine claims that a variety of evidence is helpful in determining whether an observed correlation is causal. In line with this tradition, it has been claimed that establishing a causal claim in medicine requires both probabilistic and mechanistic evidence. This claim has been put forward by Federica Russo and Jon Williamson. As a result, it is sometimes called the Russo–Williamson thesis. In support of this thesis, Ru…
Robustness and evidence of mechanisms in early experimental atherosclerosis research
Synthetic biology and genetic causation
Robustness and Model Selection in Configurational Causal Modeling
In recent years, proponents of configurational comparative methods (CCMs) have advanced various dimensions of robustness as instrumental to model selection. But these robustness considerations have not led to computable robustness measures, and they have typically been applied to the analysis of real-life data with unknown underlying causal structures, rendering it impossible to determine exactly how they influence the correctness of selected mod…
Extrapolation and the Russo–Williamson thesis
A particular tradition in medicine claims that a variety of evidence is helpful in determining whether an observed correlation is causal. In line with this tradition, it has been claimed that establishing a causal claim in medicine requires both probabilistic and mechanistic evidence. This claim has been put forward by Federica Russo and Jon Williamson. As a result, it is sometimes called the Russo–Williamson thesis. In support of this thesis, Ru…
Synthetic biology and genetic causation
Synthetic biology and genetic causation
Robustness and evidence of mechanisms in early experimental atherosclerosis research
Extrapolation and the Russo–Williamson thesis
A particular tradition in medicine claims that a variety of evidence is helpful in determining whether an observed correlation is causal. In line with this tradition, it has been claimed that establishing a causal claim in medicine requires both probabilistic and mechanistic evidence. This claim has been put forward by Federica Russo and Jon Williamson. As a result, it is sometimes called the Russo–Williamson thesis. In support of this thesis, Ru…
Variable relativity of causation is good
Interventionism is a theory of causation with a pragmatic goal: to define causal concepts that are useful for reasoning about how things could, in principle, be purposely manipulated. In its original presentation, Woodward’s (2003) interventionist definition of causation is relativized to an analyzed variable set. In Woodward (2008), Woodward changes the definition of the most general interventionist notion of cause, contributing cause, so that i…
Robustness and Model Selection in Configurational Causal Modeling
In recent years, proponents of configurational comparative methods (CCMs) have advanced various dimensions of robustness as instrumental to model selection. But these robustness considerations have not led to computable robustness measures, and they have typically been applied to the analysis of real-life data with unknown underlying causal structures, rendering it impossible to determine exactly how they influence the correctness of selected mod…
Computer Science (4 works) · Epistemology (3 works) · Mathematics (3 works) · Philosophy and History of Science (3 works) · Artificial Intelligence (2 works) · Biology (2 works) · Causation (2 works) · Law (2 works) · Metaphysics (2 works) · Philosophy (2 works)