A Quote by Dave Hickey

My mother was an economics professor. I'm proficient in math, and statistics, game theory, symbolic logic and all of that. — © Dave Hickey
My mother was an economics professor. I'm proficient in math, and statistics, game theory, symbolic logic and all of that.
By a combination of formal training and self study, the latter continuing systematically well into the 1940s, I was able to gain a broad base of knowledge in economics and political science, together with reasonable skills in advanced mathematics, symbolic logic, and mathematical statistics.
I engage in the use of game theory. Game theory is a branch of mathematics, and that means, sorry, that even in the study of politics, math has come into the picture. We can no longer pretend that we just speculate about politics; we need to look at this in a rigorous way.
The fact that all Mathematics is Symbolic Logic is one of the greatest discoveries of our age; and when this fact has been established, the remainder of the principles of mathematics consists of the analysis of Symbolic Logic itself.
Economics anxiety may be even more common than the often identified 'math anxiety,' for unlike math, which has its personal uses, economics is seen as a mysterious set of forces manipulated from above.
My mother is an office manager, my father a professor of economics and financial planner.
There's a tendency for adults to label the math that they can do (such as identifying patterns, choosing between competing offers in a supermarket, and challenging statistics published by the government) as "common sense" and labeling everything they can't do as "math" - so that being bad at math becomes a self-fulfilling prophecy.
If you add up all the promises any politician makes, the math doesn't work. Hillary Clinton's math doesn't work; Donald's math probably doesn't work. I think you have to listen to their campaign pitches more as symbolic, more as metaphors.
At the time, my personal research objectives were to provide Keynesian economics with more rigorous foundations and to tighten and elaborate the logic of macroeconomic and monetary theory.
Mainstream economics scholarship produces theory without facts ("pure theory") and facts without theory ("applied economics").
I'm a professor of economics and associate head of the MIT Department of Economics.
I always approach logic without emotion. The math always equals the math. Regardless of whether I discovered the math before anyone else, or I just decided to accept it, I know what logically makes sense, and I'm going to speak on it every time.
There's a branch of math called the foundations of math. It's kind of like quantum mechanics. It's about how this very complex theory of math can be built up from very basic parts.
I work on the boundary between economics and statistics in this field called econometrics. Part of my interest is understanding how you use statistics in productive ways to analyze dynamic economic models.
Economics in college was very poor; I was not very impressed with it. I actually wanted to study statistics. I discovered mathematical statistics as an undergraduate and was fascinated with it.
It is clear that Economics, if it is to be a science at all, must be a mathematical science ... simply because it deals with quantities... As the complete theory of almost every other science involves the use of calculus, so we cannot have a true theory of Economics without its aid.
The fact that the same symbolic programming primitives work for those as work for math kinds of things, I think, really validates the idea of symbolic programming being something pretty general.
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